Paper Digest: Most Cited Papers on Style Transfer
Paper Digest Team extracted all recent Style Transfer related papers on our radar, and generated highlight sentences for them. The results are then sorted by impact.
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TABLE 1: Paper Digest: Most Cited Papers on Style Transfer
| Paper | Author(s) | Source | Date | |
|---|---|---|---|---|
| 1 | Perceptual Losses For Real-Time Style Transfer And Super-Resolution IF:10 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We combine the benefits of both approaches, and propose the use of perceptual loss functions for training feed-forward networks for image transformation tasks. |
Justin Johnson; Alexandre Alahi; Li Fei-Fei; | arxiv-cs.CV | 2016-03-26 |
| 2 | A Survey on Image Data Augmentation for Deep Learning IF:9 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deep convolutional neural networks have performed remarkably well on many Computer Vision tasks. However, these networks are heavily reliant on big data to avoid overfitting. … |
Connor Shorten; Taghi M. Khoshgoftaar; | Journal of Big Data | 2019-01-01 |
| 3 | Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks IF:10 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present an approach for learning to translate an image from a source domain $X$ to a target domain $Y$ in the absence of paired examples. |
Jun-Yan Zhu; Taesung Park; Phillip Isola; Alexei A. Efros; | arxiv-cs.CV | 2017-03-30 |
| 4 | Image Style Transfer Using Convolutional Neural Networks IF:10 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We introduce A Neural Algorithm of Artistic Style that can separate and recombine the image content and style of natural images. |
Leon A. Gatys; Alexander S. Ecker; Matthias Bethge; | cvpr | 2016-06-23 |
| 5 | Arbitrary Style Transfer In Real-time With Adaptive Instance Normalization IF:9 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we present a simple yet effective approach that for the first time enables arbitrary style transfer in real-time. |
Xun Huang; Serge Belongie; | arxiv-cs.CV | 2017-03-20 |
| 6 | StarGAN: Unified Generative Adversarial Networks For Multi-Domain Image-to-Image Translation IF:9 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To address this limitation, we propose StarGAN, a novel and scalable approach that can perform image-to-image translations for multiple domains using only a single model. |
YUNJEY CHOI et. al. | arxiv-cs.CV | 2017-11-24 |
| 7 | Generative Adversarial Networks: An Overview IF:9 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: The aim of this review paper is to provide an overview of GANs for the signal processing community, drawing on familiar analogies and concepts where possible. |
ANTONIA CRESWELL et. al. | arxiv-cs.CV | 2017-10-19 |
| 8 | Unsupervised Image-to-Image Translation Networks IF:9 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To address the problem, we make a shared-latent space assumption and propose an unsupervised image-to-image translation framework based on Coupled GANs. |
Ming-Yu Liu; Thomas Breuel; Jan Kautz; | arxiv-cs.CV | 2017-03-02 |
| 9 | Multimodal Unsupervised Image-to-image Translation IF:9 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To address this limitation, we propose a Multimodal Unsupervised Image-to-image Translation (MUNIT) framework. |
Xun Huang; Ming-Yu Liu; Serge Belongie; Jan Kautz; | eccv | 2018-09-10 |
| 10 | Data Augmentation for Improving Deep Learning in Image Classification Problem IF:9 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: These days deep learning is the fastest-growing field in the field of Machine Learning (ML) and Deep Neural Networks (DNN). Among many of DNN structures, the Convolutional Neural … |
Agnieszka Mikołajczyk; Michał Grochowski; | 2018 International Interdisciplinary PhD Workshop (IIPhDW) | 2018-01-01 |
| 11 | StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery IF:8 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we explore leveraging the power of recently introduced Contrastive Language-Image Pre-training (CLIP) models in order to develop a text-based interface for StyleGAN image manipulation that does not require such manual effort. |
Or Patashnik; Zongze Wu; Eli Shechtman; Daniel Cohen-Or; Dani Lischinski; | arxiv-cs.CV | 2021-03-31 |
| 12 | Image2StyleGAN: How to Embed Images Into The StyleGAN Latent Space? IF:9 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose an efficient algorithm to embed a given image into the latent space of StyleGAN. |
Rameen Abdal; Yipeng Qin; Peter Wonka; | iccv | 2019-10-24 |
| 13 | Encoding in Style: A StyleGAN Encoder for Image-to-Image Translation IF:9 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present a generic image-to-image translation framework, pixel2style2pixel (pSp). |
ELAD RICHARDSON et. al. | cvpr | 2021-06-11 |
| 14 | Neural 3D Mesh Renderer IF:9 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Therefore, in this work, we propose an approximate gradient for rasterization that enables the integration of rendering into neural networks. |
Hiroharu Kato; Yoshitaka Ushiku; Tatsuya Harada; | cvpr | 2018-06-17 |
| 15 | MaskGAN: Towards Diverse and Interactive Facial Image Manipulation IF:8 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To overcome these drawbacks, we propose a novel framework termed MaskGAN, enabling diverse and interactive face manipulation. To facilitate extensive studies, we construct a large-scale high-resolution face dataset with fine-grained mask annotations named CelebAMask-HQ. |
Cheng-Han Lee; Ziwei Liu; Lingyun Wu; Ping Luo; | cvpr | 2020-06-08 |
| 16 | Video-to-Video Synthesis IF:8 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a video-to-video synthesis approach under the generative adversarial learning framework. |
TING-CHUN WANG et. al. | nips | 2018-12-04 |
| 17 | Universal Style Transfer Via Feature Transforms IF:8 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we present a simple yet effective method that tackles these limitations without training on any pre-defined styles. |
YIJUN LI et. al. | nips | 2017-12-04 |
| 18 | Imagic: Text-Based Real Image Editing With Diffusion Models IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper we demonstrate, for the very first time, the ability to apply complex (e.g., non-rigid) text-based semantic edits to a single real image. |
BAHJAT KAWAR et. al. | cvpr | 2023-05-17 |
| 19 | Image-Image Domain Adaptation With Preserved Self-Similarity and Domain-Dissimilarity for Person Re-Identification IF:8 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In our attempt, we present a “learning via translation” framework. |
WEIJIAN DENG et. al. | cvpr | 2018-06-17 |
| 20 | Style Transfer from Non-Parallel Text By Cross-Alignment IF:9 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We assume a shared latent content distribution across different text corpora, and propose a method that leverages refined alignment of latent representations to perform style transfer. |
Tianxiao Shen; Tao Lei; Regina Barzilay; Tommi Jaakkola; | nips | 2017-12-04 |
| 21 | Improved Texture Networks: Maximizing Quality And Diversity In Feed-forward Stylization And Texture Synthesis IF:8 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we advance them in two significant ways. |
Dmitry Ulyanov; Andrea Vedaldi; Victor Lempitsky; | arxiv-cs.CV | 2017-01-09 |
| 22 | Neural Style Transfer: A Review IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we aim to provide a comprehensive overview of the current progress towards NST. |
YONGCHENG JING et. al. | arxiv-cs.CV | 2017-05-11 |
| 23 | Deep Photo Style Transfer IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper introduces a deep-learning approach to photographic style transfer that handles a large variety of image content while faithfully transferring the reference style. |
Fujun Luan; Sylvain Paris; Eli Shechtman; Kavita Bala; | cvpr | 2017-06-17 |
| 24 | Demystifying Neural Style Transfer IF:8 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a novel interpretation of neural style transfer by treating it as a domain adaptation problem. |
Yanghao Li; Naiyan Wang; Jiaying Liu; Xiaodi Hou; | ijcai | 2017-08-19 |
| 25 | Face Transfer with Multilinear Models IF:8 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Face Transfer is a method for mapping videorecorded performances of one individual to facial animations of another. It extracts visemes (speech-related mouth articulations), … |
Daniel Vlasic; Matthew Brand; Hanspeter Pfister; Jovan Popovic; | ACM Trans. Graph. | 2005-01-01 |
| 26 | Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present rectified flow, a simple approach to learning (neural) ordinary differential equation (ODE) models to transport between two empirically observed distributions $\pi_0$ and $\pi_1$, hence providing a unified solution to generative modeling and domain transfer, among various other tasks involving distribution transport. |
Xingchao Liu; Chengyue Gong; qiang liu; | iclr | 2023-02-01 |
| 27 | DiffusionCLIP: Text-Guided Diffusion Models for Robust Image Manipulation IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Specifically, these approaches often have difficulties in reconstructing images with novel poses, views, and highly variable contents compared to the training data, altering object identity, or producing unwanted image artifacts. To mitigate these problems and enable faithful manipulation of real images, we propose a novel method, dubbed DiffusionCLIP, that performs text-driven image manipulation using diffusion models. |
Gwanghyun Kim; Taesung Kwon; Jong Chul Ye; | arxiv-cs.CV | 2021-10-06 |
| 28 | Delete, Retrieve, Generate: A Simple Approach To Sentiment And Style Transfer IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose simpler methods motivated by the observation that text attributes are often marked by distinctive phrases (e.g., too small). |
Juncen Li; Robin Jia; He He; Percy Liang; | naacl | 2018-11-02 |
| 29 | Image2StyleGAN++: How To Edit The Embedded Images? IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose Image2StyleGAN++, a flexible image editing framework with many applications. |
Rameen Abdal; Yipeng Qin; Peter Wonka; | arxiv-cs.CV | 2019-11-26 |
| 30 | MedGAN: Medical Image Translation Using GANs IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a new framework, named MedGAN, for medical image-to-image translation which operates on the image level in an end-to-end manner. |
KARIM ARMANIOUS et. al. | arxiv-cs.CV | 2018-06-17 |
| 31 | Plug-and-Play Diffusion Features for Text-Driven Image-to-Image Translation IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we present a new framework that takes text-to-image synthesis to the realm of image-to-image translation — given a guidance image and a target text prompt as input, our method harnesses the power of a pre-trained text-to-image diffusion model to generate a new image that complies with the target text, while preserving the semantic layout of the guidance image. |
Narek Tumanyan; Michal Geyer; Shai Bagon; Tali Dekel; | cvpr | 2023-05-17 |
| 32 | Style Transfer In Text: Exploration And Evaluation IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose two models to achieve this goal. |
Zhenxin Fu; Xiaoye Tan; Nanyun Peng; Dongyan Zhao; Rui Yan; | aaai | 2018-02-02 |
| 33 | Controlling Perceptual Factors In Neural Style Transfer IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Here we extend the existing method to introduce control over spatial location, colour information and across spatial scale. |
Leon A. Gatys; Alexander S. Ecker; Matthias Bethge; Aaron Hertzmann; Eli Shechtman; | cvpr | 2017-06-17 |
| 34 | StyleBank: An Explicit Representation For Neural Image Style Transfer IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose StyleBank, which is composed of multiple convolution filter banks and each filter bank explicitly represents one style, for neural image style transfer. |
Dongdong Chen; Lu Yuan; Jing Liao; Nenghai Yu; Gang Hua; | cvpr | 2017-06-17 |
| 35 | A Closed-form Solution To Photorealistic Image Stylization IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a method to address these issues. |
Yijun Li; Ming-Yu Liu; Xueting Li; Ming-Hsuan Yang; Jan Kautz; | eccv | 2018-09-10 |
| 36 | Fast Patch-based Style Transfer Of Arbitrary Style IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work we propose a simpler optimization objective based on local matching that combines the content structure and style textures in a single layer of the pretrained network. |
Tian Qi Chen; Mark Schmidt; | arxiv-cs.CV | 2016-12-13 |
| 37 | Dear Sir Or Madam, May I Introduce The GYAFC Dataset: Corpus, Benchmarks And Metrics For Formality Style Transfer IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we create the largest corpus for a particular stylistic transfer (formality) and show that techniques from the machine translation community can serve as strong baselines for future work. |
Sudha Rao; Joel Tetreault; | naacl | 2018-11-02 |
| 38 | Style Transfer Through Back-Translation IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper introduces a new method for automatic style transfer. |
Shrimai Prabhumoye; Yulia Tsvetkov; Ruslan Salakhutdinov; Alan W Black; | acl | 2018-07-15 |
| 39 | Fast Face-swap Using Convolutional Neural Networks IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: By combining neural networks with simple pre- and post-processing steps, we aim at making face swap work in real-time with no input from the user. |
Iryna Korshunova; Wenzhe Shi; Joni Dambre; Lucas Theis; | arxiv-cs.CV | 2016-11-29 |
| 40 | Arbitrary Style Transfer With Style-Attentional Networks IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we introduce a novel style-attentional network (SANet) that efficiently and flexibly integrates the local style patterns according to the semantic spatial distribution of the content image. |
Dae Young Park; Kwang Hee Lee; | cvpr | 2019-06-14 |
| 41 | Learning Blind Video Temporal Consistency IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we present an efficient end-to-end approach based on deep recurrent network for enforcing temporal consistency in a video.Our method takes the original unprocessed and per-frame processed videos as inputs to produce a temporally consistent video.Consequently, our approach is agnostic to specific image processing algorithms applied on the original video.We train the proposed network by minimizing both short-term and long-term temporal losses as well as the perceptual loss to strike a balance between temporal stability and perceptual similarity with the processed frames.At test time, our model does not require computing optical flow and thus achieves real-time speed even for high-resolution videos. |
WEI-SHENG LAI et. al. | eccv | 2018-09-10 |
| 42 | Exploiting Deep Generative Prior For Versatile Image Restoration And Manipulation IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This work presents an effective way to exploit the image prior captured by a generative adversarial network (GAN) trained on large-scale natural images. |
XINGANG PAN et. al. | eccv | 2020-08-21 |
| 43 | Photorealistic Style Transfer Via Wavelet Transforms IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We introduce a theoretically sound correction to the network architecture that remarkably enhances photorealism and faithfully transfers the style. |
Jaejun Yoo; Youngjung Uh; Sanghyuk Chun; Byeongkyu Kang; Jung-Woo Ha; | iccv | 2019-10-24 |
| 44 | Fast Image Processing With Fully-Convolutional Networks IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present an approach to accelerating a wide variety of image processing operators. |
Qifeng Chen; Jia Xu; Vladlen Koltun; | arxiv-cs.CV | 2017-09-02 |
| 45 | Multi-Content GAN For Few-Shot Font Style Transfer IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we focus on the challenge of taking partial observations of highly-stylized text and generalizing the observations to generate unobserved glyphs in the ornamented typeface. |
SAMANEH AZADI et. al. | arxiv-cs.CV | 2017-12-01 |
| 46 | Multi-Content GAN for Few-Shot Font Style Transfer IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we focus on the challenge of taking partial observations of highly-stylized text and generalizing the observations to generate unobserved glyphs in the ornamented typeface. |
SAMANEH AZADI et. al. | cvpr | 2018-06-17 |
| 47 | Progressive Pose Attention Transfer for Person Image Generation IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper proposes a new generative adversarial network to the problem of pose transfer, i.e., transferring the pose of a given person to a target one. |
ZHEN ZHU et. al. | cvpr | 2019-06-14 |
| 48 | Avatar-Net: Multi-Scale Zero-Shot Style Transfer By Feature Decoration IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we resolve this dilemma and propose an efficient yet effective Avatar-Net that enables visually plausible multi-scale transfer for arbitrary style. |
Lu Sheng; Ziyi Lin; Jing Shao; Xiaogang Wang; | cvpr | 2018-06-17 |
| 49 | Exploring The Structure Of A Real-time, Arbitrary Neural Artistic Stylization Network IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we present a method which combines the flexibility of the neural algorithm of artistic style with the speed of fast style transfer networks to allow real-time stylization using any content/style image pair. |
Golnaz Ghiasi; Honglak Lee; Manjunath Kudlur; Vincent Dumoulin; Jonathon Shlens; | arxiv-cs.CV | 2017-05-18 |
| 50 | Domain Adaptation for Image Dehazing IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To address this issue, we propose a domain adaptation paradigm, which consists of an image translation module and two image dehazing modules. |
Yuanjie Shao; Lerenhan Li; Wenqi Ren; Changxin Gao; Nong Sang; | cvpr | 2020-06-08 |
| 51 | Coherent Online Video Style Transfer IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose the first end-to-end network for online video style transfer, which generates temporally coherent stylized video sequences in near real-time. |
Dongdong Chen; Jing Liao; Lu Yuan; Nenghai Yu; Gang Hua; | iccv | 2017-07-23 |
| 52 | Visual Intelligence Perception Image And Manipulation In Visual Communication IF:5 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Thank you very much for downloading visual intelligence perception image and manipulation in visual communication. Maybe you have knowledge that, people have look hundreds times … |
Birgit Wirtz; | 2016-01-01 | |
| 53 | Real-Time Monocular Depth Estimation Using Synthetic Data With Domain Adaptation Via Image Style Transfer IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Monocular depth estimation using learning-based approaches has become promising in recent years. |
Amir Atapour-Abarghouei; Toby P. Breckon; | cvpr | 2018-06-17 |
| 54 | Large Scale Image Completion Via Co-Modulated Generative Adversarial Networks IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To overcome this challenge, we propose a generic new approach that bridges the gap between image-conditional and recent modulated unconditional generative architectures via co-modulation of both conditional and stochastic style representations. |
SHENGYU ZHAO et. al. | arxiv-cs.CV | 2021-03-18 |
| 55 | Large Scale Image Completion Via Co-Modulated Generative Adversarial Networks IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Bridging the gap between between image-conditional and unconditional GAN architectures via co-modulation |
SHENGYU ZHAO et. al. | iclr | 2021-01-21 |
| 56 | ManiGAN: Text-Guided Image Manipulation IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: The goal of our paper is to semantically edit parts of an image matching a given text that describes desired attributes (e.g., texture, colour, and background), while preserving other contents that are irrelevant to the text. |
Bowen Li; Xiaojuan Qi; Thomas Lukasiewicz; Philip H.S. Torr; | cvpr | 2020-06-08 |
| 57 | Multi-style Generative Network For Real-time Transfer IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Motivated by this, we introduce CoMatch Layer that learns to match the second order feature statistics with the target styles. |
Hang Zhang; Kristin Dana; | arxiv-cs.CV | 2017-03-20 |
| 58 | CrDoCo: Pixel-level Domain Transfer With Cross-Domain Consistency IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present a novel pixel-wise adversarial domain adaptation algorithm. |
Yun-Chun Chen; Yen-Yu Lin; Ming-Hsuan Yang; Jia-Bin Huang; | arxiv-cs.CV | 2020-01-09 |
| 59 | Style Transfer By Relaxed Optimal Transport and Self-Similarity IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose Style Transfer by Relaxed Optimal Transport and Self-Similarity (STROTSS), a new optimization-based style transfer algorithm. |
Nicholas Kolkin; Jason Salavon; Gregory Shakhnarovich; | cvpr | 2019-06-14 |
| 60 | Style Transfer By Relaxed Optimal Transport And Self-Similarity IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose Style Transfer by Relaxed Optimal Transport and Self-Similarity (STROTSS), a new optimization-based style transfer algorithm. |
Nicholas Kolkin; Jason Salavon; Greg Shakhnarovich; | arxiv-cs.CV | 2019-04-29 |
| 61 | Unrestricted Facial Geometry Reconstruction Using Image-to-Image Translation IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: As an alternative, we propose an Image-to-Image translation network that jointly maps the input image to a depth image and a facial correspondence map. |
Matan Sela; Elad Richardson; Ron Kimmel; | arxiv-cs.CV | 2017-03-29 |
| 62 | PairedCycleGAN: Asymmetric Style Transfer for Applying and Removing Makeup IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper introduces an automatic method for editing a portrait photo so that the subject appears to be wearing makeup in the style of another person in a reference photo. |
Huiwen Chang; Jingwan Lu; Fisher Yu; Adam Finkelstein; | cvpr | 2018-06-17 |
| 63 | Image Super-Resolution By Neural Texture Transfer IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper aims to unleash the potential of RefSR by leveraging more texture details from Ref images with stronger robustness even when irrelevant Ref images are provided. We build a benchmark dataset for the general research of RefSR, which contains Ref images paired with LR inputs with varying levels of similarity. |
Zhifei Zhang; Zhaowen Wang; Zhe Lin; Hairong Qi; | cvpr | 2019-06-14 |
| 64 | AdaAttN: Revisit Attention Mechanism in Arbitrary Neural Style Transfer IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To alleviate this problem, in this paper, we propose a novel Adaptive Attention Normalization (AdaAttN) module to adaptively perform attentive normalization on per-point basis. |
SONGHUA LIU et. al. | iccv | 2021-10-08 |
| 65 | Adaptive Transfer Network for Cross-Domain Person Re-Identification IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose a novel adaptive transfer network (ATNet) for effective cross-domain person re-identification. |
Jiawei Liu; Zheng-Jun Zha; Di Chen; Richang Hong; Meng Wang; | cvpr | 2019-06-14 |
| 66 | Exchanging Faces in Images IF:6 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Pasting somebody’s face into an existing image with traditional photo retouching and digital image processing tools has only been possible if both images show the face from the … |
Volker Blanz; Kristina Scherbaum; Thomas Vetter; Hans-Peter Seidel; | Computer Graphics Forum | 2004-01-01 |
| 67 | Style Transfer for Headshot Portraits IF:6 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Headshot portraits are a popular subject in photography but to achieve a compelling visual style requires advanced skills that a casual photographer will not have. Further, … |
Yi-Chang Shih; Sylvain Paris; Connelly Barnes; William T. Freeman; Frédo Durand; | ACM Trans. Graph. | 2014-01-01 |
| 68 | Semantic Style Transfer And Turning Two-Bit Doodles Into Fine Artworks IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper introduces a novel concept to augment such generative architectures with semantic annotations, either by manually authoring pixel labels or using existing solutions for semantic segmentation. |
Alex J. Champandard; | arxiv-cs.CV | 2016-03-05 |
| 69 | Image-to-Image Translation: Methods and Applications IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we provide an overview of the I2I works developed in recent years. |
Yingxue Pang; Jianxin Lin; Tao Qin; Zhibo Chen; | arxiv-cs.CV | 2021-01-21 |
| 70 | All About Structure: Adapting Structural Information Across Domains for Boosting Semantic Segmentation IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper we tackle the problem of unsupervised domain adaptation for the task of semantic segmentation, where we attempt to transfer the knowledge learned upon synthetic datasets with ground-truth labels to real-world images without any annotation. |
Wei-Lun Chang; Hui-Po Wang; Wen-Hsiao Peng; Wei-Chen Chiu; | cvpr | 2019-06-14 |
| 71 | Image-to-image Translation for Cross-domain Disentanglement IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we bridge these two objectives and introduce the concept of cross-domain disentanglement. |
Abel Gonzalez-Garcia; Joost van de Weijer; Yoshua Bengio; | nips | 2018-12-04 |
| 72 | Special Section on CANS: XDoG: An EXtended Difference-of-Gaussians Compendium Including Advanced Image Stylization IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View |
H. Winnemöller; J. Kyprianidis; S. Olsen; | Computers & Graphics | 2012-10-01 |
| 73 | Cross-Domain Correspondence Learning for Exemplar-Based Image Translation IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present a general framework for exemplar-based image translation, which synthesizes a photo-realistic image from the input in a distinct domain (e.g., semantic segmentation mask, or edge map, or pose keypoints), given an exemplar image. |
Pan Zhang; Bo Zhang; Dong Chen; Lu Yuan; Fang Wen; | cvpr | 2020-06-08 |
| 74 | Applications of Generative Adversarial Networks (GANs): An Updated Review IF:5 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Generative adversarial networks (GANs) present a way to learn deep representations without extensively annotated training data. These networks achieve learning through deriving … |
Hamed Alqahtani; Manolya Kavakli-Thorne; Gulshan Kumar; | Archives of Computational Methods in Engineering | 2019-01-01 |
| 75 | Reformulating Unsupervised Style Transfer As Paraphrase Generation IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we reformulate unsupervised style transfer as a paraphrase generation problem, and present a simple methodology based on fine-tuning pretrained language models on automatically generated paraphrase data. |
Kalpesh Krishna; John Wieting; Mohit Iyyer; | emnlp | 2020-11-12 |
| 76 | Controllable Person Image Synthesis With Attribute-Decomposed GAN IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper introduces the Attribute-Decomposed GAN, a novel generative model for controllable person image synthesis, which can produce realistic person images with desired human attributes (e.g., pose, head, upper clothes and pants) provided in various source inputs. |
Yifang Men; Yiming Mao; Yuning Jiang; Wei-Ying Ma; Zhouhui Lian; | arxiv-cs.CV | 2020-03-27 |
| 77 | BeautyGAN: Instance-level Facial Makeup Transfer with Deep Generative Adversarial Network IF:5 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Facial makeup transfer aims to translate the makeup style from a given reference makeup face image to another non-makeup one while preserving face identity. Such an instance-level … |
TINGTING LI et. al. | Proceedings of the 26th ACM international conference on … | 2018-01-01 |
| 78 | Learning Linear Transformations for Fast Image and Video Style Transfer IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we present an approach for universal style transfer that learns the transformation matrix in a data-driven fashion. |
Xueting Li; Sifei Liu; Jan Kautz; Ming-Hsuan Yang; | cvpr | 2019-06-14 |
| 79 | CLIPstyler: Image Style Transfer With A Single Text Condition IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, in many practical situations, users may not have reference style images but still be interested in transferring styles by just imagining them. In order to deal with such applications, we propose a new framework that enables a style transfer ‘without’ a style image, but only with a text description of the desired style. |
Gihyun Kwon; Jong Chul Ye; | cvpr | 2022-06-07 |
| 80 | Dense Pose Transfer IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work we integrate ideas from surface-based modeling with neural synthesis: we propose a combination of surface-based pose estimation and deep generative models that allows us to perform accurate pose transfer, i.e. synthesize a new image of a person based on a single image of that person and the image of a pose donor. |
Natalia Neverova; Riza Alp Guler; Iasonas Kokkinos; | eccv | 2018-09-10 |
| 81 | StyTr2: Image Style Transfer With Transformers IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Therefore, traditional neural style transfer methods face biased content representation. To address this critical issue, we take long-range dependencies of input images into account for image style transfer by proposing a transformer-based approach called StyTr^2. |
YINGYING DENG et. al. | cvpr | 2022-06-07 |
| 82 | Real-Time Neural Style Transfer For Videos IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Compared with directly applying an existing image style transfer method to videos, our proposed method employs the trained network to yield temporally consistent stylized videos which are much more visually pleasant. |
HAOZHI HUANG et. al. | cvpr | 2017-06-17 |
| 83 | Batch-Instance Normalization For Adaptively Style-Invariant Neural Networks IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Extending this idea to general visual recognition problems, we present Batch-Instance Normalization (BIN) to explicitly normalize unnecessary styles from images. |
Hyeonseob Nam; Hyo-Eun Kim; | arxiv-cs.CV | 2018-05-21 |
| 84 | Night-to-Day Image Translation For Retrieval-based Localization IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we explore the task of accurately localizing images captured from two traversals of the same area in both day and night. |
Asha Anoosheh; Torsten Sattler; Radu Timofte; Marc Pollefeys; Luc Van Gool; | arxiv-cs.CV | 2018-09-25 |
| 85 | A Style-Aware Content Loss For Real-time HD Style Transfer IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To circumvent these issues, we propose a style-aware content loss, which is trained jointly with a deep encoder-decoder network for real-time, high-resolution stylization of images and videos. |
Artsiom Sanakoyeu; Dmytro Kotovenko; Sabine Lang; Björn Ommer; | arxiv-cs.CV | 2018-07-26 |
| 86 | A Style-Aware Content Loss For Real-time HD Style Transfer IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To circumvent these issues, we propose a style-aware content loss, which is trained jointly with a deep encoder-decoder network for real-time, high-resolution stylization of images and videos. |
Artsiom Sanakoyeu; Dmytro Kotovenko; Sabine Lang; Bjorn Ommer; | eccv | 2018-09-10 |
| 87 | A Unified Feature Disentangler for Multi-Domain Image Translation and Manipulation IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present a novel and unified deep learning framework which is capable of learning domain-invariant representation from data across multiple domains. |
Alexander H. Liu; Yen-Cheng Liu; Yu-Ying Yeh; Yu-Chiang Frank Wang; | nips | 2018-12-04 |
| 88 | Automatic Portrait Segmentation for Image Stylization IF:5 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Portraiture is a major art form in both photography and painting. In most instances, artists seek to make the subject stand out from its surrounding, for instance, by making it … |
XIAOYONG SHEN et. al. | Computer Graphics Forum | 2016-01-01 |
| 89 | Task Driven Generative Modeling For Unsupervised Domain Adaptation: Application To X-ray Image Segmentation IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a novel model framework for learning automatic X-ray image parsing from labeled CT scans. |
Yue Zhang; Shun Miao; Tommaso Mansi; Rui Liao; | arxiv-cs.CV | 2018-06-11 |
| 90 | Inversion-Based Style Transfer With Diffusion Models IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Specifically, we perceive style as a learnable textual description of a painting.We propose an inversion-based style transfer method (InST), which can efficiently and accurately learn the key information of an image, thus capturing and transferring the artistic style of a painting. |
YUXIN ZHANG et. al. | cvpr | 2023-05-17 |
| 91 | Drag Your GAN: Interactive Point-based Manipulation on The Generative Image Manifold IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we study a powerful yet much less explored way of controlling GANs, that is, to drag any points of the image to precisely reach target points in a user-interactive manner, as shown in Fig.1. |
XINGANG PAN et. al. | arxiv-cs.CV | 2023-05-18 |
| 92 | Artistic Style Transfer For Videos IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present an approach that transfers the style from one image (for example, a painting) to a whole video sequence. |
Manuel Ruder; Alexey Dosovitskiy; Thomas Brox; | arxiv-cs.CV | 2016-04-28 |
| 93 | AttentionGAN: Unpaired Image-to-Image Translation Using Attention-Guided Generative Adversarial Networks IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a new Attention-Guided Generative Adversarial Networks (AttentionGAN) for the unpaired image-to-image translation task. |
Hao Tang; Hong Liu; Dan Xu; Philip H. S. Torr; Nicu Sebe; | arxiv-cs.CV | 2019-11-26 |
| 94 | Automatic Face Reenactment IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose an image-based, facial reenactment system that replaces the face of an actor in an existing target video with the face of a user from a source video, while preserving the original target performance. |
PABLO GARRIDO et. al. | cvpr | 2014-06-24 |
| 95 | Dynamic Instance Normalization for Arbitrary Style Transfer IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a new and generalized normalization module, termed as Dynamic Instance Normalization (DIN), that allows for flexible and more efficient arbitrary style transfers. |
YONGCHENG JING et. al. | aaai | 2020-02-07 |
| 96 | Arbitrary Style Transfer With Deep Feature Reshuffle IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper introduces a novel method by reshuffling deep features (i.e., permuting the spacial locations of a feature map) of the style image for arbitrary style transfer. |
Shuyang Gu; Congliang Chen; Jing Liao; Lu Yuan; | arxiv-cs.CV | 2018-05-10 |
| 97 | RL-CycleGAN: Reinforcement Learning Aware Simulation-To-Real IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we introduce the RL-scene consistency loss for image translation, which ensures that the translation operation is invariant with respect to the Q-values associated with the image. |
KANISHKA RAO et. al. | arxiv-cs.RO | 2020-06-16 |
| 98 | Style Transfer Functions for Illustrative Volume Rendering IF:4 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Illustrative volume visualization frequently employs non‐photorealistic rendering techniques to enhance important features or to suppress unwanted details. However, it is … |
Stefan Bruckner; Eduard Gröller; | Computer Graphics Forum | 2007-01-01 |
| 99 | Geometry-Aware Symmetric Domain Adaptation for Monocular Depth Estimation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Motivated by the observation, we propose a geometry-aware symmetric domain adaptation framework (GASDA) to explore the labels in the synthetic data and epipolar geometry in the real data jointly. |
Shanshan Zhao; Huan Fu; Mingming Gong; Dacheng Tao; | cvpr | 2019-06-14 |
| 100 | Dense Intrinsic Appearance Flow for Human Pose Transfer IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present a novel approach for the task of human pose transfer, which aims at synthesizing a new image of a person from an input image of that person and a target pose. |
Yining Li; Chen Huang; Chen Change Loy; | cvpr | 2019-06-14 |
| 101 | NIR-VIS Heterogeneous Face Synthesis Via Enhanced Asymmetric CycleGAN IF:4 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Heterogeneous face image involves many fields, among which the near infrared (NIR) and visible (VIS) face image recognition is a hot field. NIR image has excellent imaging effect … |
Yinghui Zhang; Chun Liu; Bo Sun; Jun He; Lejun Yu; | 2021 International Joint Conference on Neural Networks … | 2021-01-01 |
| 102 | Pretraining Is All You Need for Image-to-Image Translation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we regard each image-to-image translation problem as a downstream task and introduce a simple and generic framework that adapts a pretrained diffusion model to accommodate various kinds of image-to-image translation. |
TENGFEI WANG et. al. | arxiv-cs.CV | 2022-05-25 |
| 103 | Style Augmentation: Data Augmentation Via Style Randomization IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We introduce style augmentation, a new form of data augmentation based on random style transfer, for improving the robustness of convolutional neural networks (CNN) over both classification and regression based tasks. |
Philip T. Jackson; Amir Atapour-Abarghouei; Stephen Bonner; Toby Breckon; Boguslaw Obara; | arxiv-cs.CV | 2018-09-14 |
| 104 | ArtFlow: Unbiased Image Style Transfer Via Reversible Neural Flows IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose ArtFlow to prevent content leak during universal style transfer. |
JIE AN et. al. | cvpr | 2021-06-11 |
| 105 | Separating Style And Content For Generalized Style Transfer IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We here attempt to separate the representations for styles and contents, and propose a generalized style transfer network consisting of style encoder, content encoder, mixer and decoder. |
Yexun Zhang; Ya Zhang; Wenbin Cai; Jie Chang; | arxiv-cs.CV | 2017-11-17 |
| 106 | Separating Style and Content for Generalized Style Transfer IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We here attempt to separate the representations for styles and contents, and propose a generalized style transfer network consisting of style encoder, content encoder, mixer and decoder. |
Yexun Zhang; Ya Zhang; Wenbin Cai; | cvpr | 2018-06-17 |
| 107 | Multimodal Transfer: A Hierarchical Deep Convolutional Neural Network For Fast Artistic Style Transfer IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Here we propose a multimodal convolutional neural network that takes into consideration faithful representations of both color and luminance channels, and performs stylization hierarchically with multiple losses of increasing scales. |
Xin Wang; Geoffrey Oxholm; Da Zhang; Yuan-Fang Wang; | cvpr | 2017-06-17 |
| 108 | Learning Deep Semantic Segmentation Network Under Multiple Weakly-supervised Constraints for Cross-domain Remote Sensing Image Semantic Segmentation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View |
YANSHENG LI et. al. | Isprs Journal of Photogrammetry and Remote Sensing | 2021-01-01 |
| 109 | Arbitrary Style Transfer Via Multi-Adaptation Network IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose the multi-adaptation network which involves two self-adaptation (SA) modules and one co-adaptation (CA) module:the SA modules adaptively disentangle the content and style representations, i.e., content SA module uses position-wise self-attention to enhance content representation and style SA module uses channel-wise self-attention to enhance style representation; the CA module rearranges the distribution of style representation based on content representation distribution by calculating the local similarity between the disentangled content and style features in a non-local fashion. |
YINGYING DENG et. al. | mm | 2020-10-12 |
| 110 | Content and Style Disentanglement for Artistic Style Transfer IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a novel approach which captures particularities of style and the variations within and separates style and content. |
Dmytro Kotovenko; Artsiom Sanakoyeu; Sabine Lang; Bjorn Ommer; | iccv | 2019-10-24 |
| 111 | Unsupervised Misaligned Infrared and Visible Image Fusion Via Cross-Modality Image Generation and Registration IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To overcome the obstacles, in this paper, we present a robust cross-modality generation-registration paradigm for unsupervised misaligned infrared and visible image fusion (IVIF). |
Di Wang; Jinyuan Liu; Xin Fan; Risheng Liu; | ijcai | 2022-07-01 |
| 112 | Preserving Color In Neural Artistic Style Transfer IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We describe simple linear methods for transferring style while preserving colors. |
Leon A. Gatys; Matthias Bethge; Aaron Hertzmann; Eli Shechtman; | arxiv-cs.CV | 2016-06-19 |
| 113 | Progressive Color Transfer for Images of Arbitrary Dynamic Range IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View |
Tania Pouli; Erik Reinhard; | Comput. Graph. | 2011-01-01 |
| 114 | Attention-Aware Multi-Stroke Style Transfer IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we tackle these limitations by developing an attention-aware multi-stroke style transfer model. |
YUAN YAO et. al. | cvpr | 2019-06-14 |
| 115 | SPA-GAN: Spatial Attention GAN For Image-to-Image Translation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we introduce the attention mechanism directly to the generative adversarial network (GAN) architecture and propose a novel spatial attention GAN model (SPA-GAN) for image-to-image translation tasks. |
Hajar Emami; Majid Moradi Aliabadi; Ming Dong; Ratna Babu Chinnam; | arxiv-cs.CV | 2019-08-19 |
| 116 | Layered Neural Atlases for Consistent Video Editing IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present a method that decomposes, or unwraps, an input video into a set of layered 2D atlases, each providing a unified representation of the appearance of an object (or background) over the video. |
Yoni Kasten; Dolev Ofri; Oliver Wang; Tali Dekel; | arxiv-cs.CV | 2021-09-23 |
| 117 | The Art and Science of Digital Compositing IF:4 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Acknowledgments Preface Chapter 1 Introduction to Digital Compositing Chapter 2 The Digital Representation of Visual Information Chapter 3 Basic Image Manipulation Chapter 4 Basic … |
Ron Brinkmann; | 1999-01-01 | |
| 118 | UNIT-DDPM: UNpaired Image Translation with Denoising Diffusion Probabilistic Models IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a novel unpaired image-to-image translation method that uses denoising diffusion probabilistic models without requiring adversarial training. |
Hiroshi Sasaki; Chris G. Willcocks; Toby P. Breckon; | arxiv-cs.CV | 2021-04-12 |
| 119 | Generative Adversarial Networks For Image And Video Synthesis: Algorithms And Applications IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we provide an overview of GANs with a special focus on algorithms and applications for visual synthesis. |
Ming-Yu Liu; Xun Huang; Jiahui Yu; Ting-Chun Wang; Arun Mallya; | arxiv-cs.CV | 2020-08-06 |
| 120 | Arbitrary Video Style Transfer Via Multi-Channel Correlation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Towards this end, we propose a Multi-Channel Correlation network (MCCNet), which can be trained to fuse exemplar style features and input content features for efficient style transfer while naturally maintaining the coherence of input videos to output videos. |
YINGYING DENG et. al. | aaai | 2021-02-09 |
| 121 | XGAN: Unsupervised Image-to-Image Translation For Many-to-Many Mappings IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Here we tackle the more generic problem of semantic style transfer: given two unpaired collections of images, we aim to learn a mapping between the corpus-level style of each collection, while preserving semantic content shared across the two domains. |
AMÉLIE ROYER et. al. | arxiv-cs.CV | 2017-11-14 |
| 122 | RelGAN: Multi-Domain Image-to-Image Translation Via Relative Attributes IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To address these limitations, we propose RelGAN, a new method for multi-domain image-to-image translation. |
Po-Wei Wu; Yu-Jing Lin; Che-Han Chang; Edward Y. Chang; Shih-Wei Liao; | iccv | 2019-10-24 |
| 123 | One Shot Face Swapping on Megapixels IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper proposes the first Megapixel level method for one shot Face Swapping (or MegaFS for short). |
Yuhao Zhu; Qi Li; Jian Wang; Cheng-Zhong Xu; Zhenan Sun; | cvpr | 2021-06-11 |
| 124 | One Shot Face Swapping on Megapixels IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper proposes the first Megapixel level method for one shot Face Swapping (or MegaFS for short). |
Yuhao Zhu; Qi Li; Jian Wang; Chengzhong Xu; Zhenan Sun; | arxiv-cs.CV | 2021-05-11 |
| 125 | StylizedNeRF: Consistent 3D Scene Stylization As Stylized NeRF Via 2D-3D Mutual Learning IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, there is a significant domain gap between style examples which are 2D images and NeRF which is an implicit volumetric representation. To address this problem, we propose a novel mutual learning framework for 3D scene stylization that combines a 2D image stylization network and NeRF to fuse the stylization ability of 2D stylization network with the 3D consistency of NeRF. |
Yi-Hua Huang; Yue He; Yu-Jie Yuan; Yu-Kun Lai; Lin Gao; | cvpr | 2022-06-07 |
| 126 | EDICT: Exact Diffusion Inversion Via Coupled Transformations IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, DDIM inversion for real images is unstable as it relies on local linearization assumptions, which result in the propagation of errors, leading to incorrect image reconstruction and loss of content. To alleviate these problems, we propose Exact Diffusion Inversion via Coupled Transformations (EDICT), an inversion method that draws inspiration from affine coupling layers. |
Bram Wallace; Akash Gokul; Nikhil Naik; | cvpr | 2023-05-17 |
| 127 | Artistic Style Transfer For Videos And Spherical Images IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present two computational approaches that transfer the style from one image (for example, a painting) to a whole video sequence. |
Manuel Ruder; Alexey Dosovitskiy; Thomas Brox; | arxiv-cs.CV | 2017-08-13 |
| 128 | Exact Feature Distribution Matching for Arbitrary Style Transfer and Domain Generalization IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we, for the first time to our best knowledge, propose to perform Exact Feature Distribution Matching (EFDM) by exactly matching the empirical Cumulative Distribution Functions (eCDFs) of image features, which could be implemented by applying the Exact Histogram Matching (EHM) in the image feature space. |
Yabin Zhang; Minghan Li; Ruihuang Li; Kui Jia; Lei Zhang; | cvpr | 2022-06-07 |
| 129 | APDrawingGAN: Generating Artistic Portrait Drawings From Face Photos With Hierarchical GANs IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To address these challenges, we propose APDrawingGAN, a novel GAN based architecture that builds upon hierarchical generators and discriminators combining both a global network (for images as a whole) and local networks (for individual facial regions). To train APDrawingGAN, we construct an artistic drawing dataset containing high-resolution portrait photos and corresponding professional artistic drawings. |
Ran Yi; Yong-Jin Liu; Yu-Kun Lai; Paul L. Rosin; | cvpr | 2019-06-14 |
| 130 | Fast Local Laplacian Filters IF:5 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Multiscale manipulations are central to image editing but also prone to halos. Achieving artifact-free results requires sophisticated edge-aware techniques and careful parameter … |
Mathieu Aubry; Sylvain Paris; Samuel W. Hasinoff; Jan Kautz; Frédo Durand; | ACM Transactions on Graphics (TOG) | 2014-01-01 |
| 131 | Dual Contrastive Learning for Unsupervised Image-to-Image Translation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a novel method based on contrastive learning and a dual learning setting (exploiting two encoders) to infer an efficient mapping between unpaired data. |
Junlin Han; Mehrdad Shoeiby; Lars Petersson; Mohammad Ali Armin; | arxiv-cs.CV | 2021-04-15 |
| 132 | Domain Enhanced Arbitrary Image Style Transfer Via Contrastive Learning IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we tackle the challenging problem of arbitrary image style transfer using a novel style feature representation learning method. |
YUXIN ZHANG et. al. | siggraph | 2022-07-28 |
| 133 | FaceShop: Deep Sketch-based Face Image Editing IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a novel system for sketch-based face image editing, enabling users to edit images intuitively by sketching a few strokes on a region of interest. |
TIZIANO PORTENIER et. al. | arxiv-cs.CV | 2018-04-24 |
| 134 | Progressive Semantic-Aware Style Transformation for Blind Face Restoration IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a new progressive semantic-aware style transformation framework, named PSFR-GAN, for face restoration. |
CHAOFENG CHEN et. al. | cvpr | 2021-06-11 |
| 135 | StyleGAN2 Distillation For Feed-forward Image Manipulation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose a way to distill a particular image manipulation of StyleGAN2 into image-to-image network trained in paired way. |
Yuri Viazovetskyi; Vladimir Ivashkin; Evgeny Kashin; | arxiv-cs.CV | 2020-03-07 |
| 136 | Artistic Style Transfer with Internal-external Learning and Contrastive Learning IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Motivated by this, we propose an internal-external style transfer method with two contrastive losses. |
HAIBO CHEN et. al. | nips | 2021-11-20 |
| 137 | Conditional Image-to-Image Translation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we study a new problem, conditional image-to-image translation, which is to translate an image from the source domain to the target domain conditioned on a given image in the target domain. |
Jianxin Lin; Yingce Xia; Tao Qin; Zhibo Chen; Tie-Yan Liu; | cvpr | 2018-06-17 |
| 138 | VR Facial Animation Via Multiview Image Translation IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we present a bidirectional system that can animate avatar heads of both users’ full likeness using consumer-friendly headset mounted cameras (HMC). |
SHIH-EN WEI et. al. | siggraph | 2019-07-18 |
| 139 | Diffusion-based Image Translation Using Disentangled Style and Content Representation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Unfortunately, due to the stochastic nature of diffusion models, it is often difficult to maintain the original content of the image during the reverse diffusion. To address this, here we present a novel diffusion-based unsupervised image translation method using disentangled style and content representation. |
Gihyun Kwon; Jong Chul Ye; | arxiv-cs.CV | 2022-09-30 |
| 140 | Interactive Sketch & Fill: Multiclass Sketch-to-Image Translation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose an interactive GAN-based sketch-to-image translation method that helps novice users create images of simple objects. |
ARNAB GHOSH et. al. | arxiv-cs.CV | 2019-09-24 |
| 141 | Split And Match: Example-Based Adaptive Patch Sampling For Unsupervised Style Transfer IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents a novel unsupervised method to transfer the style of an example image to a source image. |
Oriel Frigo; Neus Sabater; Julie Delon; Pierre Hellier; | cvpr | 2016-06-23 |
| 142 | 360-Degree Textures Of People In Clothing From A Single Image IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper we predict a full 3D avatar of a person from a single image. |
Verica Lazova; Eldar Insafutdinov; Gerard Pons-Moll; | arxiv-cs.CV | 2019-08-19 |
| 143 | Compressed-domain Techniques for Image/video Indexing and Manipulation IF:5 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: As massive amount of visual materials are captured and stored in visual information systems, effective and efficient image indexing and manipulation techniques are required. Most … |
Shih-Fu Chang; | Proceedings., International Conference on Image Processing | 1995-01-01 |
| 144 | Image-To-Image Translation Via Group-Wise Deep Whitening-And-Coloring Transformation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In response, this paper proposes an end-to-end approach tailored for image translation that efficiently approximates this transformation with our novel regularization methods. |
Wonwoong Cho; Sungha Choi; David Keetae Park; Inkyu Shin; Jaegul Choo; | cvpr | 2019-06-14 |
| 145 | A Probabilistic Formulation Of Unsupervised Text Style Transfer IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present a deep generative model for unsupervised text style transfer that unifies previously proposed non-generative techniques. |
Junxian He; Xinyi Wang; Graham Neubig; Taylor Berg-Kirkpatrick; | arxiv-cs.CL | 2020-02-10 |
| 146 | Textured Neural Avatars IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a system for learning full body neural avatars, i.e. deep networks that produce full body renderings of a person for varying body pose and varying camera pose. |
ALIAKSANDRA SHYSHEYA et. al. | cvpr | 2019-06-14 |
| 147 | Neural Style Transfer Via Meta Networks IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper we propose a noval method to generate the specified network parameters through one feed-forward propagation in the meta networks for neural style transfer. |
Falong Shen; Shuicheng Yan; Gang Zeng; | cvpr | 2018-06-17 |
| 148 | VR-Goggles For Robots: Real-to-sim Domain Adaptation For Visual Control IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we deal with the reality gap from a novel perspective, targeting transferring Deep Reinforcement Learning (DRL) policies learned in simulated environments to the real-world domain for visual control tasks. |
JINGWEI ZHANG et. al. | arxiv-cs.RO | 2018-02-01 |
| 149 | Breaking The Dilemma of Medical Image-to-image Translation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In order to break the dilemma of the existing modes, we propose a new unsupervised mode called RegGAN for medical image-to-image translation. |
LINGKE KONG et. al. | nips | 2021-11-20 |
| 150 | Characterizing And Improving Stability In Neural Style Transfer IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work we characterize the instability of these methods by examining the solution set of the style transfer objective. |
Agrim Gupta; Justin Johnson; Alexandre Alahi; Li Fei-Fei; | iccv | 2017-07-23 |
| 151 | Region-Aware Adaptive Instance Normalization for Image Harmonization IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To ensure the visual style consistency between the foreground and the background, in this paper, we treat image harmonization as a style transfer problem. |
Jun Ling; Han Xue; Li Song; Rong Xie; Xiao Gu; | cvpr | 2021-06-11 |
| 152 | Fake Face Detection Via Adaptive Manipulation Traces Extraction Network IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View |
Zhiqing Guo; Gaobo Yang; Jiyou Chen; Xingming Sun; | Comput. Vis. Image Underst. | 2021-01-01 |
| 153 | Stroke Controllable Fast Style Transfer With Adaptive Receptive Fields IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we present a stroke controllable style transfer network that can achieve continuous and spatial stroke size control. |
YONGCHENG JING et. al. | arxiv-cs.CV | 2018-02-20 |
| 154 | Attention-Guided Generative Adversarial Networks For Unsupervised Image-to-Image Translation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To handle the limitation, in this paper we propose a novel Attention-Guided Generative Adversarial Network (AGGAN), which can detect the most discriminative semantic object and minimize changes of unwanted part for semantic manipulation problems without using extra data and models. |
Hao Tang; Dan Xu; Nicu Sebe; Yan Yan; | arxiv-cs.CV | 2019-03-28 |
| 155 | A State-of-the-Art Review on Image Synthesis With Generative Adversarial Networks IF:4 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Generative Adversarial Networks (GANs) have achieved impressive results in various image synthesis tasks, and are becoming a hot topic in computer vision research because of the … |
Lei Wang; Wei Chen; Wenjia Yang; Fangming Bi; Fei Richard Yu; | IEEE Access | 2020-01-01 |
| 156 | Stylizing 3D Scene Via Implicit Representation and HyperNetwork IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we aim to address the 3D scene stylization problem – generating stylized images of the scene at arbitrary novel view angles. |
Pei-Ze Chiang; Meng-Shiun Tsai; Hung-Yu Tseng; Wei-sheng Lai; Wei-Chen Chiu; | arxiv-cs.CV | 2021-05-27 |
| 157 | Video and Image Manipulation for Enhanced Perception IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View |
C. Rößing; | 2014-12-15 | |
| 158 | Stereoscopic Neural Style Transfer IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: For a practical real-time solution, we propose the first feed-forward network by jointly training a stylization sub-network and a disparity sub-network, and integrate them in a feature level middle domain. |
Dongdong Chen; Lu Yuan; Jing Liao; Nenghai Yu; Gang Hua; | cvpr | 2018-06-17 |
| 159 | TransGaGa: Geometry-Aware Unsupervised Image-To-Image Translation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we present a novel disentangle-and-translate framework to tackle the complex objects image-to-image translation task. |
Wayne Wu; Kaidi Cao; Cheng Li; Chen Qian; Chen Change Loy; | cvpr | 2019-06-14 |
| 160 | Exemplar Guided Unsupervised Image-to-Image Translation with Semantic Consistency IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose the Exemplar Guided & Semantically Consistent Image-to-image Translation (EGSC-IT) network which conditions the translation process on an exemplar image in the target domain. |
Liqian Ma; Xu Jia; Stamatios Georgoulis; Tinne Tuytelaars; Luc Van Gool; | iclr | 2019-05-08 |
| 161 | Semantic Image Manipulation Using Scene Graphs IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Our goal is to encode image information in a given constellation and from there on generate new constellations, such as replacing objects or even changing relationships between objects, while respecting the semantics and style from the original image. |
HELISA DHAMO et. al. | cvpr | 2020-06-08 |
| 162 | TSIT: A Simple And Versatile Framework For Image-to-Image Translation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We introduce a simple and versatile framework for image-to-image translation. |
LIMING JIANG et. al. | eccv | 2020-08-21 |
| 163 | Learning Linear Transformations For Fast Arbitrary Style Transfer IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Generalized from these methods, in this work, we derive the form of transformation matrix theoretically and present an arbitrary style transfer approach that learns the transformation matrix with a feed-forward network. |
Xueting Li; Sifei Liu; Jan Kautz; Ming-Hsuan Yang; | arxiv-cs.CV | 2018-08-14 |
| 164 | Gated-GAN: Adversarial Gated Networks For Multi-Collection Style Transfer IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we focus on tackling these challenges and limitations to improve style transfer. |
Xinyuan Chen; Chang Xu; Xiaokang Yang; Li Song; Dacheng Tao; | arxiv-cs.CV | 2019-04-03 |
| 165 | Disrupting Deepfakes: Adversarial Attacks Against Conditional Image Translation Networks And Facial Manipulation Systems IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present a spread-spectrum adversarial attack, which evades blur defenses. |
Nataniel Ruiz; Sarah Adel Bargal; Stan Sclaroff; | arxiv-cs.CV | 2020-03-02 |
| 166 | A Recipe for Arbitrary Text Style Transfer with Large Language Models IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we leverage large language models (LLMs) to perform zero-shot text style transfer. |
EMILY REIF et. al. | acl | 2022-05-17 |
| 167 | Multidimensional Signal, Image and Video Processing and Coding [Book Reviews] IF:4 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This new book covers the processing and coding of multidimensional signals, in particular, still images and video. The book is accompanied by a CD-ROM and a companion Web site. … |
John W. Woods; | IEEE Signal Processing Magazine | 2007-01-01 |
| 168 | Unpaired Image-to-Image Translation Using Adversarial Consistency Loss IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a novel adversarial-consistency loss for image-to-image translation. |
Yihao Zhao; Ruihai Wu; Hao Dong; | arxiv-cs.CV | 2020-03-10 |
| 169 | TraVeLGAN: Image-To-Image Translation By Transformation Vector Learning IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: For this purpose, we introduce a novel GAN based on preserving intra-domain vector transformations in a latent space learned by a siamese network. |
Matthew Amodio; Smita Krishnaswamy; | cvpr | 2019-06-14 |
| 170 | Multi-camera Transfer GAN for Person Re-identification IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View |
Shuren Zhou; Maolin Ke; Peng Luo; | J. Vis. Commun. Image Represent. | 2019-01-01 |
| 171 | BBDM: Image-to-Image Translation With Brownian Bridge Diffusion Models IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, a novel image-to-image translation method based on the Brownian Bridge Diffusion Model(BBDM) is proposed, which models image-to-image translation as a stochastic Brownian Bridge process, and learns the translation between two domains directly through the bidirectional diffusion process rather than a conditional generation process. |
Bo Li; Kaitao Xue; Bin Liu; Yu-Kun Lai; | cvpr | 2023-05-17 |
| 172 | GAN-Based Day-to-Night Image Style Transfer for Nighttime Vehicle Detection IF:4 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Data augmentation plays a crucial role in training a CNN-based detector. Most previous approaches were based on using a combination of general image-processing operations and … |
Che-Tsung Lin; Sheng-Wei Huang; Yen-Yi Wu; Shang-Hong Lai; | IEEE Transactions on Intelligent Transportation Systems | 2021-01-01 |
| 173 | Counterfactuals Uncover The Modular Structure Of Deep Generative Models IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Abstract: Deep generative models can emulate the perceptual properties of complex image datasets, providing a latent representation of the data. However, manipulating such representation to … |
Michel Besserve; Arash Mehrjou; Rémy Sun; Bernhard Schölkopf; | arxiv-cs.LG | 2018-12-07 |
| 174 | Counterfactuals Uncover The Modular Structure Of Deep Generative Models IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We develop a framework to find modular internal representations in generative models and manipulate then to generate counterfactual examples. |
Michel Besserve; Arash Mehrjou; Remy Sun; Bernhard Schoelkopf; | iclr | 2019-12-21 |
| 175 | Unsupervised Person Image Generation With Semantic Parsing Transformation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we address unsupervised pose-guided person image generation, which is known challenging due to non-rigid deformation. |
Sijie Song; Wei Zhang; Jiaying Liu; Tao Mei; | cvpr | 2019-06-14 |
| 176 | Deep Network Interpolation for Continuous Imagery Effect Transition IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Unlike existing methods that require a specific design to achieve one particular transition (e.g., style transfer), we propose a simple yet universal approach to attain a smooth control of diverse imagery effects in many low-level vision tasks, including image restoration, image-to-image translation, and style transfer. |
Xintao Wang; Ke Yu; Chao Dong; Xiaoou Tang; Chen Change Loy; | cvpr | 2019-06-14 |
| 177 | Image-to-Image Translation Via Hierarchical Style Disentanglement IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose Hierarchical Style Disentanglement (HiSD) to address this issue. |
XINYANG LI et. al. | cvpr | 2021-06-11 |
| 178 | Learning To Drive From Simulation Without Real World Labels IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Here we present and evaluate a method for transferring a vision-based lane following driving policy from simulation to operation on a rural road without any real-world labels. |
ALEX BEWLEY et. al. | arxiv-cs.CV | 2018-12-10 |
| 179 | Towards Instance-Level Image-To-Image Translation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present a simple yet effective instance-aware image-to-image translation approach (INIT), which employs the fine-grained local (instance) and global styles to the target image spatially. We also collect a large-scale benchmark for the new instance-level translation task. |
Zhiqiang Shen; Mingyang Huang; Jianping Shi; Xiangyang Xue; Thomas S. Huang; | cvpr | 2019-06-14 |
| 180 | Towards Instance-level Image-to-Image Translation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present a simple yet effective instance-aware image-to-image translation approach (INIT), which employs the fine-grained local (instance) and global styles to the target image spatially. We also collect a large-scale benchmark for the new instance-level translation task. |
Zhiqiang Shen; Mingyang Huang; Jianping Shi; Xiangyang Xue; Thomas Huang; | arxiv-cs.CV | 2019-05-05 |
| 181 | Transfer Learning For Related Reinforcement Learning Tasks Via Image-to-Image Translation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We demonstrate the approach on synthetic visual variants of the Breakout game, as well as on transfer between subsequent levels of Road Fighter, a Nintendo car-driving game. |
Shani Gamrian; Yoav Goldberg; | arxiv-cs.CV | 2018-05-31 |
| 182 | Laplacian-Steered Neural Style Transfer IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: As a remedy, we propose to steer image synthesis with a novel loss function: the Laplacian loss. |
Shaohua Li; Xinxing Xu; Liqiang Nie; Tat-Seng Chua; | arxiv-cs.CV | 2017-07-05 |
| 183 | MSCap: Multi-Style Image Captioning With Unpaired Stylized Text IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose an adversarial learning network for the task of multi-style image captioning (MSCap) with a standard factual image caption dataset and a multi-stylized language corpus without paired images. |
Longteng Guo; Jing Liu; Peng Yao; Jiangwei Li; Hanqing Lu; | cvpr | 2019-06-14 |
| 184 | Rethinking The Truly Unsupervised Image-to-Image Translation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we tackle image-to-image translation in a fully unsupervised setting, i.e., neither paired images nor domain labels. |
Kyungjune Baek; Yunjey Choi; Youngjung Uh; Jaejun Yoo; Hyunjung Shim; | iccv | 2021-10-08 |
| 185 | Pastiche Master: Exemplar-Based High-Resolution Portrait Style Transfer IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we explore more challenging exemplar-based high-resolution portrait style transfer by introducing a novel DualStyleGAN with flexible control of dual styles of the original face domain and the extended artistic portrait domain. |
Shuai Yang; Liming Jiang; Ziwei Liu; Chen Change Loy; | cvpr | 2022-06-07 |
| 186 | PISE: Person Image Synthesis and Editing With Decoupled GAN IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose PISE, a novel two-stage generative model for person image synthesis and editing, which can generate realistic person images with desired poses, textures, and semantic layouts. |
Jinsong Zhang; Kun Li; Yu-Kun Lai; Jingyu Yang; | cvpr | 2021-06-11 |
| 187 | Learning to Transfer Texture From Clothing Images to 3D Humans IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we present a simple yet effective method to automatically transfer textures of clothing images (front and back) to 3D garments worn on top SMPL, in real time. |
Aymen Mir; Thiemo Alldieck; Gerard Pons-Moll; | cvpr | 2020-06-08 |
| 188 | Progressive Histogram Reshaping for Creative Color Transfer and Tone Reproduction IF:4 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Image manipulation takes many forms. A powerful approach involves image adjustment by example. To make color edits more intuitive, the intelligent transfer of a user-specified … |
Tania Pouli; Erik Reinhard; | 2010-01-01 | |
| 189 | Collaborative Distillation for Ultra-Resolution Universal Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we present a new knowledge distillation method (named Collaborative Distillation) for encoder-decoder based neural style transfer to reduce the convolutional filters. |
Huan Wang; Yijun Li; Yuehai Wang; Haoji Hu; Ming-Hsuan Yang; | cvpr | 2020-06-08 |
| 190 | Wasserstein-2 Generative Networks IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present a new end-to-end algorithm to compute optimal transport maps between continuous distributions without introducing bias or resorting to minimax optimization. |
Alexander Korotin; Vage Egiazarian; Arip Asadulaev; Alexander Safin; Evgeny Burnaev; | iclr | 2021-01-21 |
| 191 | TimbreTron: A WaveNet(CycleGAN(CQT(Audio))) Pipeline for Musical Timbre Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present the TimbreTron, a pipeline for perfoming high-quality timbre transfer on musical waveforms using CQT-domain style transfer. |
SICONG HUANG et. al. | iclr | 2019-05-08 |
| 192 | Quantum Image Translation IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Image translation, which maps the position of each picture element into a new position, is a basic image transformation. Although it has been deeply researched and widely used in … |
Jian Wang; Nan Jiang; Luo Wang; | Quantum Information Processing | 2015-01-01 |
| 193 | Unsupervised Image-to-Image Translation With Stacked Cycle-Consistent Adversarial Networks IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose novel Stacked Cycle-Consistent Adversarial Networks (SCANs) by decomposing a single translation into multi-stage transformations, which not only boost the image translation quality but also enable higher resolution image-to-image translations in a coarse-to-fine manner. |
MINJUN LI et. al. | arxiv-cs.CV | 2018-07-23 |
| 194 | Unsupervised Image-to-Image Translation With Generative Adversarial Networks IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We define this requirement as the image-to-image translation problem, and propose a general approach to achieve it, based on deep convolutional and conditional generative adversarial networks (GANs), which has gained a phenomenal success to learn mapping images from noise input since 2014. |
Hao Dong; Paarth Neekhara; Chao Wu; Yike Guo; | arxiv-cs.CV | 2017-01-10 |
| 195 | Controllable Artistic Text Style Transfer Via Shape-Matching GAN IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we present the first text style transfer network that allows for real-time control of the crucial stylistic degree of the glyph through an adjustable parameter. |
SHUAI YANG et. al. | iccv | 2019-10-24 |
| 196 | Drafting and Revision: Laplacian Pyramid Network for Fast High-Quality Artistic Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Inspired by the common painting process of drawing a draft and revising the details, we introduce a novel feed-forward method Laplacian Pyramid Network (LapStyle). |
TIANWEI LIN et. al. | cvpr | 2021-06-11 |
| 197 | StyleDiffusion: Controllable Disentangled Style Transfer Via Diffusion Models IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a new C-S disentangled framework for style transfer without using previous assumptions. |
Zhizhong Wang; Lei Zhao; Wei Xing; | iccv | 2023-09-27 |
| 198 | Retargeting Images and Video for Preserving Information Saliency IF:4 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: A nonphotorealistic algorithm for retargeting images adapts large images so that important objects in the image are still recognizable when displayed at a lower target resolution. … |
Vidya Setlur; Thomas Lechner; Marc Nienhaus; Bruce Gooch; | IEEE Computer Graphics and Applications | 2007-01-01 |
| 199 | Stylizing Video By Example IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce a new example-based approach to video stylization, with a focus on preserving the visual quality of the style, user controllability and applicability to arbitrary video. |
ONDREJ JAMRI�KA et. al. | siggraph | 2019-07-18 |
| 200 | Guided Image-to-Image Translation With Bi-Directional Feature Transformation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To better utilize the constraints of the guidance image, we present a bi-directional feature transformation (bFT) scheme. |
Badour AlBahar; Jia-Bin Huang; | arxiv-cs.CV | 2019-10-24 |
| 201 | Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation to Disease Detection and Localization IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Therefore, we propose a new GAN, called Fixed-Point GAN, trained by (1) supervising same-domain translation through a conditional identity loss, and (2) regularizing cross-domain translation through revised adversarial, domain classification, and cycle consistency loss. |
MD MAHFUZUR RAHMAN SIDDIQUEE et. al. | iccv | 2019-10-24 |
| 202 | Diversified Arbitrary Style Transfer Via Deep Feature Perturbation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we tackle these limitations and propose a simple yet effective method for diversified arbitrary style transfer. |
ZHIZHONG WANG et. al. | cvpr | 2020-06-08 |
| 203 | Face Image Manipulation Detection Based on A Convolutional Neural Network IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View |
L. Minh Dang; Ibrahim Hassan; Suhyeon Im; Hyeonjoon Moon; | Expert Syst. Appl. | 2019-01-01 |
| 204 | Dressing in Order: Recurrent Person Image Generation for Pose Transfer, Virtual Try-on and Outfit Editing IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose a flexible person generation framework called Dressing in Order (DiOr), which supports 2D pose transfer, virtual try-on, and several fashion editing tasks. |
Aiyu Cui; Daniel McKee; Svetlana Lazebnik; | arxiv-cs.CV | 2021-04-14 |
| 205 | Learning Hierarchical Semantic Image Manipulation Through Structured Representations IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we present a novel hierarchical framework for semantic image manipulation. |
Seunghoon Hong; Xinchen Yan; Thomas Huang; Honglak Lee; | arxiv-cs.CV | 2018-08-22 |
| 206 | Learning Hierarchical Semantic Image Manipulation Through Structured Representations IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we present a novel hierarchical framework for semantic image manipulation. |
Seunghoon Hong; Xinchen Yan; Thomas S. Huang; Honglak Lee; | nips | 2018-12-04 |
| 207 | Rethinking and Improving The Robustness of Image Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: By performing extensive experiments with different network architectures, we find that residual connections, which represent the main architectural difference between VGG and ResNet, produce feature maps of small entropy, which are not suitable for style transfer. |
Pei Wang; Yijun Li; Nuno Vasconcelos; | cvpr | 2021-06-11 |
| 208 | LADN: Local Adversarial Disentangling Network for Facial Makeup and De-Makeup IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose a local adversarial disentangling network (LADN) for facial makeup and de-makeup. |
Qiao Gu; Guanzhi Wang; Mang Tik Chiu; Yu-Wing Tai; Chi-Keung Tang; | iccv | 2019-10-24 |
| 209 | Mocycle-GAN: Unpaired Video-to-Video Translation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present a new Motion-guided Cycle GAN, dubbed as Mocycle-GAN, that novelly integrates motion estimation into unpaired video translator. |
Yang Chen; Yingwei Pan; Ting Yao; Xinmei Tian; Tao Mei; | arxiv-cs.CV | 2019-08-26 |
| 210 | Deep Generative Adversarial Networks for Image-to-Image Translation: A Review IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Many image processing, computer graphics, and computer vision problems can be treated as image-to-image translation tasks. Such translation entails learning to map one visual … |
Aziz Alotaibi; | Symmetry | 2020-01-01 |
| 211 | Pixel-Aware Stable Diffusion for Realistic Image Super-Resolution and Personalized Stylization IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we propose a pixel-aware stable diffusion (PASD) network to achieve robust Real-ISR and personalized image stylization. |
Tao Yang; Rongyuan Wu; Peiran Ren; Xuansong Xie; Lei Zhang; | eccv | 2024-09-30 |
| 212 | Factual Or Emotional: Stylized Image Captioning With Adaptive Learning And Attention IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a novel stylized image captioning model that effectively takes both requirements into consideration. |
TIANLANG CHEN et. al. | arxiv-cs.CV | 2018-07-10 |
| 213 | Text-Only Training for Image Captioning Using Noise-Injected CLIP IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We consider the task of image-captioning using only the CLIP model and additional text data at training time, and no additional captioned images. |
David Nukrai; Ron Mokady; Amir Globerson; | arxiv-cs.CV | 2022-11-01 |
| 214 | XDoG: Advanced Image Stylization with EXtended Difference-of-Gaussians IF:4 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Recent extensions to the standard Difference-of-Gaussians (DoG) edge detection operator have rendered it less susceptible to noise and increased its aesthetic appeal for stylistic … |
Holger Winnemöller; | 2011-01-01 | |
| 215 | Stylized Neural Painting IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper proposes an image-to-painting translation method that generates vivid and realistic painting artworks with controllable styles. |
Zhengxia Zou; Tianyang Shi; Shuang Qiu; Yi Yuan; Zhenwei Shi; | cvpr | 2021-06-11 |
| 216 | StyleFormer: Real-Time Arbitrary Style Transfer Via Parametric Style Composition IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we propose a new feed-forward arbitrary style transfer method, referred to as StyleFormer, which can simultaneously fulfill fine-grained style diversity and semantic content coherency. |
Xiaolei Wu; Zhihao Hu; Lu Sheng; Dong Xu; | iccv | 2021-10-08 |
| 217 | Example-based Synthesis of Stylized Facial Animations IF:4 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: We introduce a novel approach to example-based stylization of portrait videos that preserves both the subject’s identity and the visual richness of the input style exemplar. … |
JAKUB FISER et. al. | ACM Transactions on Graphics (TOG) | 2017-01-01 |
| 218 | Stylization-Based Architecture for Fast Deep Exemplar Colorization IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To tackle these problems, we propose a deep exemplar colorization architecture inspired by the characteristics of stylization in feature extracting and blending. |
Zhongyou Xu; Tingting Wang; Faming Fang; Yun Sheng; Guixu Zhang; | cvpr | 2020-06-08 |
| 219 | Self-supervised Learning Of Interpretable Keypoints From Unlabelled Videos IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose KeypointGAN, a new method for recognizing the pose of objects from a single image that for learning uses only unlabelled videos and a weak empirical prior on the object poses. |
Tomas Jakab; Ankush Gupta; Hakan Bilen; Andrea Vedaldi; | arxiv-cs.CV | 2019-07-03 |
| 220 | GAN Slimming: All-in-One GAN Compression By A Unified Optimization Framework IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To this end, we propose the first unified optimization framework combining multiple compression means for GAN compression, dubbed GAN Slimming (GS). |
Haotao Wang; Shupeng Gui; Haichuan Yang; Ji Liu; Zhangyang Wang; | arxiv-cs.LG | 2020-08-25 |
| 221 | COCO-FUNIT: Few-Shot Unsupervised Image Translation With A Content Conditioned Style Encoder IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To address the issue, we propose a new few-shot image translation model, COCO-FUNIT, which computes the style embedding of the example images conditioned on the input image and a new module called the constant style bias. |
Kuniaki Saito; Kate Saenko; Ming-Yu Liu; | eccv | 2020-08-21 |
| 222 | BiaSwap: Removing Dataset Bias with Bias-tailored Swapping Augmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper proposes a novel bias-tailored augmentation-based approach, BiaSwap, for learning debiased representation without requiring supervision on the bias type. |
Eungyeup Kim; Jihyeon Lee; Jaegul Choo; | arxiv-cs.CV | 2021-08-23 |
| 223 | Interactive Video Stylization Using Few-shot Patch-based Training IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we present a learning-based method to the keyframe-based video stylization that allows an artist to propagate the style from a few selected keyframes to the rest of the sequence. |
ONDŘEJ TEXLER et. al. | siggraph | 2020-08-14 |
| 224 | Interactive Video Stylization Using Few-Shot Patch-Based Training IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we present a learning-based method to the keyframe-based video stylization that allows an artist to propagate the style from a few selected keyframes to the rest of the sequence. |
ONDŘEJ TEXLER et. al. | arxiv-cs.GR | 2020-04-29 |
| 225 | FReTAL: Generalizing Deepfake Detection Using Knowledge Distillation and Representation Learning IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we employ the Representation Learning (ReL) and Knowledge Distillation (KD) paradigms to introduce a transfer learning-based Feature Representation Transfer Adaptation Learning (FReTAL) method. |
Minha Kim; Shahroz Tariq; Simon S. Woo; | arxiv-cs.CV | 2021-05-28 |
| 226 | Digital Images and Formal Languages IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: We discuss the application of (weighted) finite automata to image specification and image-data compression and applications of (weighted) finite transducers to image manipulation. … |
Karel Culik; Jarkko Kari; | 1997-01-01 | |
| 227 | Domain Stylization: A Strong, Simple Baseline For Synthetic To Real Image Domain Adaptation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we show that by applying a straightforward modification to an existing photorealistic style transfer algorithm, we achieve state-of-the-art synthetic-to-real domain adaptation results. |
Aysegul Dundar; Ming-Yu Liu; Ting-Chun Wang; John Zedlewski; Jan Kautz; | arxiv-cs.CV | 2018-07-24 |
| 228 | Neural Re-Rendering of Humans from A Single Image IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To address these challenges, we propose a new method for neural re-rendering of a human under a novel user-defined pose and viewpoint, given one input image. |
Kripasindhu Sarkar; Dushyant Mehta; Weipeng Xu; Vladislav Golyanik; Christian Theobalt; | arxiv-cs.CV | 2021-01-11 |
| 229 | Multimodal Style Transfer Via Graph Cuts IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we introduce a more flexible and general universal style transfer technique: multimodal style transfer (MST). |
YULUN ZHANG et. al. | arxiv-cs.CV | 2019-04-08 |
| 230 | PatchTable: Efficient Patch Queries for Large Datasets and Applications IF:4 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This paper presents a data structure that reduces approximate nearest neighbor query times for image patches in large datasets. Previous work in texture synthesis has demonstrated … |
Connelly Barnes; Fang-Lue Zhang; Li-ming Lou; Xian Wu; Shi-Min Hu; | ACM Trans. Graph. | 2015-01-01 |
| 231 | Sem-GAN: Semantically-Consistent Image-to-Image Translation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To this end, we present a semantically-consistent GAN framework, dubbed Sem-GAN, in which the semantics are defined by the class identities of image segments in the source domain as produced by a semantic segmentation algorithm. |
Anoop Cherian; Alan Sullivan; | arxiv-cs.CV | 2018-07-11 |
| 232 | Modular Generative Adversarial Networks IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Inspired by module networks, this paper propose ModularGAN for multi-domain image-to-image translation that consists of several reusable and compatible modules of different functions. |
Bo Zhao; Bo Chang; Zequn Jie; Leonid Sigal; | eccv | 2018-09-10 |
| 233 | Instance-Wise Hard Negative Example Generation for Contrastive Learning in Unpaired Image-to-Image Translation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we uncover that the negative examples play a critical role in the performance of contrastive learning for image translation. |
Weilun Wang; Wengang Zhou; Jianmin Bao; Dong Chen; Houqiang Li; | iccv | 2021-10-08 |
| 234 | A Content Transformation Block for Image Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Therefore, we introduce a content transformation module between the encoder and decoder. |
Dmytro Kotovenko; Artsiom Sanakoyeu; Pingchuan Ma; Sabine Lang; Bjorn Ommer; | cvpr | 2019-06-14 |
| 235 | A Content Transformation Block For Image Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Therefore, we introduce a content transformation module between the encoder and decoder. |
Dmytro Kotovenko; Artsiom Sanakoyeu; Pingchuan Ma; Sabine Lang; Björn Ommer; | arxiv-cs.CV | 2020-03-18 |
| 236 | Two-Stage Peer-Regularized Feature Recombination for Arbitrary Image Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper introduces a neural style transfer model to generate a stylized image conditioning on a set of examples describing the desired style. |
Jan Svoboda; Asha Anoosheh; Christian Osendorfer; Jonathan Masci; | cvpr | 2020-06-08 |
| 237 | ChipGAN: A Generative Adversarial Network for Chinese Ink Wash Painting Style Transfer IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Style transfer has been successfully applied on photos to generate realistic western paintings. However, because of the inherently different painting techniques adopted by Chinese … |
Bin He; Feng Gao; Daiqian Ma; Boxin Shi; Ling-Yu Duan; | Proceedings of the 26th ACM international conference on … | 2018-01-01 |
| 238 | TANGO: Text-driven Photorealistic and Robust 3D Stylization Via Lighting Decomposition IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we focus on stylizing photorealistic appearance renderings of a given surface mesh of arbitrary topology. |
Yongwei Chen; Rui Chen; Jiabao Lei; Yabin Zhang; Kui Jia; | arxiv-cs.CV | 2022-10-20 |
| 239 | Exploring Patch-Wise Semantic Relation for Contrastive Learning in Image-to-Image Translation Tasks IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, the methods often ignore the diverse semantic relation within the images. To address this, here we propose a novel semantic relation consistency (SRC) regularization along with the decoupled contrastive learning (DCL), which utilize the diverse semantics by focusing on the heterogeneous semantics between the image patches of a single image. |
Chanyong Jung; Gihyun Kwon; Jong Chul Ye; | cvpr | 2022-06-07 |
| 240 | Depth-aware Neural Style Transfer IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Neural style transfer has recently received significant attention and demonstrated amazing results. An efficient solution proposed by Johnson et al. trains feed-forward … |
Xiao-Chang Liu; Ming-Ming Cheng; Yu-Kun Lai; Paul L. Rosin; | 2017-01-01 | |
| 241 | Feature Extraction Using Unit-linking Pulse Coupled Neural Network and Its Applications IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In this paper, we use Unit-linking PCNN (Pulse Coupled Neural Network), the simplified model of PCNN consisting of spiking neurons, to code a 2-dimensional image into a … |
Xiaodong Gu; | Neural Processing Letters | 2007-01-01 |
| 242 | Automatic Content-Aware Color And Tone Stylization IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce a new technique that automatically generates diverse, visually compelling stylizations for a photograph in an unsupervised manner. |
Joon-Young Lee; Kalyan Sunkavalli; Zhe Lin; Xiaohui Shen; In So Kweon; | cvpr | 2016-06-23 |
| 243 | C-Flow: Conditional Generative Flow Models for Images and 3D Point Clouds IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we introduce C-Flow, a novel conditioning scheme that brings normalizing flows to an entirely new scenario with great possibilities for multimodal data modeling. |
Albert Pumarola; Stefan Popov; Francesc Moreno-Noguer; Vittorio Ferrari; | cvpr | 2020-06-08 |
| 244 | MemCap: Memorizing Style Knowledge for Image Captioning IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose MemCap, a novel stylized image captioning method that explicitly encodes the knowledge about linguistic styles with memory mechanism. |
Wentian Zhao; Xinxiao Wu; Xiaoxun Zhang; | aaai | 2020-02-07 |
| 245 | CCPL: Contrastive Coherence Preserving Loss for Versatile Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we aim to devise a universally versatile style transfer method capable of performing artistic, photo-realistic, and video style transfer jointly, without seeing videos during training. |
Zijie Wu; Zhen Zhu; Junping Du; Xiang Bai; | eccv | 2022-10-19 |
| 246 | Domain Bridge For Unpaired Image-to-Image Translation And Unsupervised Domain Adaptation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In that context, we introduce an online multimodal style-sampling strategy, where image translation multimodality is exploited at training time to improve performances. |
Fabio Pizzati; Raoul de Charette; Michela Zaccaria; Pietro Cerri; | arxiv-cs.CV | 2019-10-23 |
| 247 | Unsupervised Image Translation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We describe a Bayesian technique for inferring the most likely output image. |
Achan and Frey; | iccv | 2003-10-29 |
| 248 | DRB-GAN: A Dynamic ResBlock Generative Adversarial Network for Artistic Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we propose a Dynamic ResBlock Generative Adversarial Network (DRB-GAN) for artistic style transfer. |
Wenju Xu; Chengjiang Long; Ruisheng Wang; Guanghui Wang; | iccv | 2021-10-08 |
| 249 | Using Global Code Motions to Improve The Quality of Results for High-level Synthesis IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The quality of synthesis results for most high-level synthesis approaches is strongly affected by the choice of control flow (through conditions and loops) in the input … |
Sumit Gupta; Nicolae Savoiu; Nikil D. Dutt; Rajesh K. Gupta; Alexandru Nicolau; | IEEE Transactions on Computer-Aided Design of Integrated … | 2004-01-01 |
| 250 | Neural Style Transfer For Audio Spectograms IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In our work, we present a method for creating new sounds using a similar approach, treating it as a style-transfer problem, starting from a random-noise input signal and iteratively using back-propagation to optimize the sound to conform to filter-outputs from a pre-trained neural architecture of interest. |
Prateek Verma; Julius O. Smith; | arxiv-cs.SD | 2018-01-04 |
| 251 | Wavelet Domain Style Transfer for An Effective Perception-Distortion Tradeoff in Single Image Super-Resolution IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a novel method based on wavelet domain style transfer (WDST), which achieves a better PD tradeoff than the GAN based methods. |
Xin Deng; Ren Yang; Mai Xu; Pier Luigi Dragotti; | iccv | 2019-10-24 |
| 252 | Symbolic Music Genre Transfer With CycleGAN IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper we apply such a model to symbolic music and show the feasibility of our approach for music genre transfer. |
Gino Brunner; Yuyi Wang; Roger Wattenhofer; Sumu Zhao; | arxiv-cs.SD | 2018-09-20 |
| 253 | 3DStyleNet: Creating 3D Shapes With Geometric and Texture Style Variations IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a method to create plausible geometric and texture style variations of 3D objects in the quest to democratize 3D content creation. |
Kangxue Yin; Jun Gao; Maria Shugrina; Sameh Khamis; Sanja Fidler; | iccv | 2021-10-08 |
| 254 | CycleGAN-Based Emotion Style Transfer As Data Augmentation for Speech Emotion Recognition IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Cycle consistent adversarial networks (CycleGAN) have shown great success in image style transfer with unpaired datasets. Inspired by this, we investigate emotion style transfer … |
Fang Bao; Michael Neumann; Ngoc Thang Vu; | 2019-01-01 | |
| 255 | CoDeF: Content Deformation Fields for Temporally Consistent Video Processing IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present the content deformation field CoDeF as a new type of video representation, which consists of a canonical content field aggregating the static contents in the entire video and a temporal deformation field recording the transformations from the canonical image (i.e., rendered from the canonical content field) to each individual frame along the time axis. |
HAO OUYANG et. al. | arxiv-cs.CV | 2023-08-15 |
| 256 | High-Resolution Daytime Translation Without Domain Labels IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present the high-resolution daytime translation (HiDT) model for this task. |
IVAN ANOKHIN et. al. | arxiv-cs.CV | 2020-03-19 |
| 257 | Ultrafast Photorealistic Style Transfer Via Neural Architecture Search IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose an effective solution to these issues. |
Jie An; Haoyi Xiong; Jun Huan; Jiebo Luo; | arxiv-cs.CV | 2019-12-05 |
| 258 | High-Resolution Daytime Translation Without Domain Labels IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present the high-resolution daytime translation (HiDT) model for this task. |
IVAN ANOKHIN et. al. | cvpr | 2020-06-08 |
| 259 | Face Transfer with Multilinear Models IF:2 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Face Transfer is a method for mapping videorecorded performances of one individual to facial animations of another. It extracts visemes (speech-related mouth articulations), … |
Daniel Vlasic; Matthew Brand; Hanspeter Pfister; Jovan Popović; | 2005-01-01 | |
| 260 | Audio Style Transfer IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose a flexible framework for the task, which uses a sound texture model to extract statistics characterizing the reference audio style, followed by an optimization-based audio texture synthesis to modify the target content. |
Eric Grinstein; Ngoc Duong; Alexey Ozerov; Patrick Pérez; | arxiv-cs.SD | 2017-10-31 |
| 261 | InOut: Diverse Image Outpainting Via GAN Inversion IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we formulate the problem from the perspective of inverting generative adversarial networks. |
YEN-CHI CHENG et. al. | cvpr | 2022-06-07 |
| 262 | SinDDM: A Single Image Denoising Diffusion Model IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Here, we introduce a framework for training a DDM on a single image. |
Vladimir Kulikov; Shahar Yadin; Matan Kleiner; Tomer Michaeli; | icml | 2023-06-27 |
| 263 | SMIT: Stochastic Multi-Label Image-to-Image Translation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we propose a joint framework (i, ii, iii) of diversity and multi-mapping image-to-image translations, using a single generator to conditionally produce countless and unique fake images that hold the underlying characteristics of the source image. |
Andrés Romero; Pablo Arbeláez; Luc Van Gool; Radu Timofte; | arxiv-cs.CV | 2018-12-10 |
| 264 | Semi-supervised Adversarial Learning To Generate Photorealistic Face Images Of New Identities From 3D Morphable Model IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose a novel end-to-end semi-supervised adversarial framework to generate photorealistic face images of new identities with wide ranges of expressions, poses, and illuminations conditioned by a 3D morphable model. |
Baris Gecer; Binod Bhattarai; Josef Kittler; Tae-Kyun Kim; | arxiv-cs.CV | 2018-04-10 |
| 265 | DUNIT: Detection-Based Unsupervised Image-to-Image Translation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we introduce a Detection-based Unsupervised Image-to-image Translation (DUNIT) approach that explicitly accounts for the object instances in the translation process. |
Deblina Bhattacharjee; Seungryong Kim; Guillaume Vizier; Mathieu Salzmann; | cvpr | 2020-06-08 |
| 266 | Protecting Intellectual Property of Generative Adversarial Networks From Ambiguity Attacks IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper therefore presents a complete protection framework in both black-box and white-box settings to enforce IPR protection on GANs. |
Ding Sheng Ong; Chee Seng Chan; Kam Woh Ng; Lixin Fan; Qiang Yang; | cvpr | 2021-06-11 |
| 267 | DualAST: Dual Style-Learning Networks for Artistic Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To tackle this problem, we propose a novel Dual Style-Learning Artistic Style Transfer (DualAST) framework to learn simultaneously both the holistic artist-style (from a collection of artworks) and the specific artwork-style (from a single style image): the artist-style sets the tone (i.e., the overall feeling) for the stylized image, while the artwork-style determines the details of the stylized image, such as color and texture. |
HAIBO CHEN et. al. | cvpr | 2021-06-11 |
| 268 | Learning Semantic Person Image Generation By Region-Adaptive Normalization IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To address this issue, we propose a new two-stage framework to handle the pose and appearance translation. |
ZHENGYAO LV et. al. | cvpr | 2021-06-11 |
| 269 | Pose-Guided Human Animation from A Single Image in The Wild IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a new pose transfer method for synthesizing a human animation from a single image of a person controlled by a sequence of body poses. |
JAE SHIN YOON et. al. | arxiv-cs.CV | 2020-12-07 |
| 270 | Automatic Semantic Style Transfer Using Deep Convolutional Neural Networks And Soft Masks IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper presents an automatic image synthesis method to transfer the style of an example image to a content image. |
Huihuang Zhao; Paul L. Rosin; Yu-Kun Lai; | arxiv-cs.CV | 2017-08-31 |
| 271 | Style Transfer As Unsupervised Machine Translation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: With this constraint, in this paper, we adapt unsupervised machine translation methods for the task of automatic style transfer. |
ZHIRUI ZHANG et. al. | arxiv-cs.CL | 2018-08-23 |
| 272 | Style Transfer Via Image Component Analysis IF:4 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Example-based stylization provides an easy way of making artistic effects for images and videos. However, most existing methods do not consider the content and style separately. … |
Wei Zhang; Chen Cao; Shifeng Chen; Jianzhuang Liu; Xiaoou Tang; | IEEE Transactions on Multimedia | 2013-01-01 |
| 273 | Frustratingly Simple Domain Generalization Via Image Stylization IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we address the Domain Generalization problem, where the classifier must generalize to an unknown target domain. |
Nathan Somavarapu; Chih-Yao Ma; Zsolt Kira; | arxiv-cs.CV | 2020-06-19 |
| 274 | Unbalanced Feature Transport for Exemplar-based Image Translation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents a general image translation framework that incorporates optimal transport for feature alignment between conditional inputs and style exemplars in image translation. |
FANGNENG ZHAN et. al. | arxiv-cs.CV | 2021-06-19 |
| 275 | The Surprising Effectiveness Of Linear Models For Visual Foresight In Object Pile Manipulation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we tackle the problem of pushing piles of small objects into a desired target set using visual feedback. |
H. J. Terry Suh; Russ Tedrake; | arxiv-cs.RO | 2020-02-20 |
| 276 | GAN-Based Unpaired Chinese Character Image Translation Via Skeleton Transformation and Stroke Rendering IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Therefore, in this work, we propose a three-stage Generative Adversarial Network (GAN) architecture for multi-chirography image translation, which is divided into skeleton extraction, skeleton transformation and stroke rendering with unpaired training data. |
Yiming Gao; Jiangqin Wu; | aaai | 2020-02-07 |
| 277 | STaDA: Style Transfer As Data Augmentation IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The success of training deep Convolutional Neural Networks (CNNs) heavily depends on a significant amount of labelled data. Recent research has found that neural style transfer … |
Xu Zheng; Tejo Chalasani; Koustav Ghosal; Sebastian Lutz; Aljosa Smolic; | ArXiv | 2019-01-01 |
| 278 | Neural Painters: A Learned Differentiable Constraint For Generating Brushstroke Paintings IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose a method for encouraging this agent to follow human-like strokes when reconstructing digits. |
Reiichiro Nakano; | arxiv-cs.CV | 2019-04-16 |
| 279 | HumanGAN: A Generative Model of Human Images IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Generative adversarial networks achieve great performance in photorealistic image synthesis in various domains, including human images. However, they usually employ latent vectors … |
Kripasindhu Sarkar; Lingjie Liu; Vladislav Golyanik; Christian Theobalt; | 2021 International Conference on 3D Vision (3DV) | 2021-01-01 |
| 280 | Describe What To Change: A Text-guided Unsupervised Image-to-image Translation Approach IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we propose a novel unsupervised approach, based on image-to-image translation, that alters the attributes of a given image through a command-like sentence such as "change the hair color to black". |
YAHUI LIU et. al. | mm | 2020-10-12 |
| 281 | Guiding Instruction-based Image Editing Via Multimodal Large Language Models IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Multimodal large language models (MLLMs) show promising capabilities in cross-modal understanding and visual-aware response generation via LMs. |
TSU-JUI FU et. al. | iclr | 2024-02-26 |
| 282 | Fashion Style Generator IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we focus on a new problem: applying artificial intelligence to automatically generate fashion style images. |
Shuhui Jiang; Yun Fu; | ijcai | 2017-08-19 |
| 283 | AlignMixup: Improving Representations By Interpolating Aligned Features IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we revisit mixup from the interpolation perspective and introduce AlignMix, where we geometrically align two images in the feature space. |
Shashanka Venkataramanan; Ewa Kijak; Laurent Amsaleg; Yannis Avrithis; | arxiv-cs.CV | 2021-03-29 |
| 284 | A Hierarchical Reinforced Sequence Operation Method For Unsupervised Text Style Transfer IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To address these challenges, we propose a hierarchical reinforced sequence operation method, named Point-Then-Operate (PTO), which consists of a high-level agent that proposes operation positions and a low-level agent that alters the sentence. |
Chen Wu; Xuancheng Ren; Fuli Luo; Xu Sun,; | acl | 2019-07-28 |
| 285 | A Hierarchical Reinforced Sequence Operation Method For Unsupervised Text Style Transfer IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To address these challenges, we propose a hierarchical reinforced sequence operation method, named Point-Then-Operate (PTO), which consists of a high-level agent that proposes operation positions and a low-level agent that alters the sentence. |
Chen Wu; Xuancheng Ren; Fuli Luo; Xu Sun; | arxiv-cs.CL | 2019-06-05 |
| 286 | Rethinking Style Transfer: From Pixels to Parameterized Brushstrokes IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose a method to stylize images by optimizing parameterized brushstrokes instead of pixels and further introduce a simple differentiable rendering mechanism. |
Dmytro Kotovenko; Matthias Wright; Arthur Heimbrecht; Björn Ommer; | arxiv-cs.CV | 2021-03-31 |
| 287 | Rethinking Style Transfer: From Pixels to Parameterized Brushstrokes IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose a method to stylize images by optimizing parameterized brushstrokes instead of pixels and further introduce a simple differentiable rendering mechanism. |
Dmytro Kotovenko; Matthias Wright; Arthur Heimbrecht; Bjorn Ommer; | cvpr | 2021-06-11 |
| 288 | 3D GAN Inversion for Controllable Portrait Image Animation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we leverage newly developed 3D GANs, which allow explicit control over the pose of the image subject with multi-view consistency. |
Connor Z. Lin; David B. Lindell; Eric R. Chan; Gordon Wetzstein; | arxiv-cs.CV | 2022-03-25 |
| 289 | ReCoNet: Real-time Coherent Video Style Transfer Network IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a novel real-time video style transfer model, ReCoNet, which can generate temporally coherent style transfer videos while maintaining favorable perceptual styles. |
Chang Gao; Derun Gu; Fangjun Zhang; Yizhou Yu; | arxiv-cs.CV | 2018-07-03 |
| 290 | StyleMesh: Style Transfer for Indoor 3D Scene Reconstructions IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We apply style transfer on mesh reconstructions of indoor scenes. |
Lukas Höllein; Justin Johnson; Matthias Nießner; | arxiv-cs.CV | 2021-12-02 |
| 291 | Discriminative Region Proposal Adversarial Networks For High-Quality Image-to-Image Translation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we present Discriminative Region Proposal Adversarial Networks (DRPAN) for high-quality image-to-image translation. |
CHAO WANG et. al. | eccv | 2018-09-10 |
| 292 | Neural Pose Transfer By Spatially Adaptive Instance Normalization IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Particularly in this paper, we are interested in transferring the pose of source human mesh to deform the target human mesh, while the source and target meshes may have different identity information. |
JIASHUN WANG et. al. | cvpr | 2020-06-08 |
| 293 | Neural Human Video Rendering By Learning Dynamic Textures and Rendering-to-Video Translation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a novel human video synthesis method that approaches these limiting factors by explicitly disentangling the learning of time-coherent fine-scale details from the embedding of the human in 2D screen space. |
LINGJIE LIU et. al. | arxiv-cs.GR | 2020-01-14 |
| 294 | SwapGAN: A Multistage Generative Approach for Person-to-Person Fashion Style Transfer IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Fashion style transfer has attracted significant attention because it both has interesting scientific challenges and it is also important to the fashion industry. This paper … |
Yu Liu; Wei Chen; Li Liu; Michael S. Lew; | IEEE Transactions on Multimedia | 2019-01-01 |
| 295 | Efficient Neural Networks for Real-time Motion Style Transfer IF:4 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Style is an intrinsic, inescapable part of human motion. It complements the content of motion to convey meaning, mood, and personality. Existing state-of-the-art motion style … |
Harrison Jesse Smith; Chen Cao; Michael Neff; Yingying Wang; | Proc. ACM Comput. Graph. Interact. Tech. | 2019-01-01 |
| 296 | Fast Video Multi-Style Transfer IF:4 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Recent progress in video style transfer has shown promising results which contain less flickering effects. However, existing algorithms mainly trade off generality for efficiency, … |
Wei Gao; Yijun Li; Yihang Yin; Ming-Hsuan Yang; | 2020 IEEE Winter Conference on Applications of Computer … | 2020-01-01 |
| 297 | SpeakingFaces: A Large-Scale Multimodal Dataset of Voice Commands with Visual and Thermal Video Streams IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present SpeakingFaces as a publicly-available large-scale multimodal dataset developed to support machine learning research in contexts that utilize a combination of thermal, visual, and audio data streams; examples include human-computer interaction, biometric authentication, recognition systems, domain transfer, and speech recognition. |
MADINA ABDRAKHMANOVA et. al. | arxiv-cs.HC | 2020-12-05 |
| 298 | Harmonizer: Learning to Perform White-Box Image and Video Harmonization IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we observe that adjusting the input arguments of basic image filters, e.g., brightness and contrast, is sufficient for humans to produce realistic images from the composite ones. |
Zhanghan Ke; Chunyi Sun; Lei Zhu; Ke Xu; Rynson W. H. Lau; | arxiv-cs.CV | 2022-07-04 |
| 299 | Harmonizer: Learning to Perform White-Box Image and Video Harmonization IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we observe that adjusting the input arguments of basic image filters, e.g., brightness and contrast, is sufficient for humans to produce realistic images from the composite ones. |
Zhanghan Ke; Chunyi Sun; Lei Zhu; Ke Xu; Rynson W.H. Lau; | eccv | 2022-10-19 |
| 300 | Aerial Single-View Depth Completion With Image-Guided Uncertainty Estimation IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Abstract: On the pursuit of autonomous flying robots, the scientific community has been developing onboard real-time algorithms for localisation, mapping and planning. Despite recent … |
Lucas Teixeira; Martin R. Oswald; Marc Pollefeys; Margarita Chli; | IEEE Robotics and Automation Letters | 2020-01-01 |
| 301 | Generative Semantic Manipulation With Contrasting GAN IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we focus on a more challenging semantic manipulation task, which aims to modify the semantic meaning of an object while preserving its own characteristics (e.g. viewpoints and shapes), such as cow$\rightarrow$sheep, motor$\rightarrow$ bicycle, cat$\rightarrow$dog. |
Xiaodan Liang; Hao Zhang; Eric P. Xing; | arxiv-cs.CV | 2017-08-01 |
| 302 | Decoder Network Over Lightweight Reconstructed Feature For Fast Semantic Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a new framework for fast semantic style transfer. |
MING LU et. al. | iccv | 2017-07-23 |
| 303 | Domain-Aware Universal Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To overcome this limitation, we propose a unified architecture, Domain-aware Style Transfer Networks (DSTN) that transfer not only the style but also the property of domain (i.e., domainness) from a given reference image. |
Kibeom Hong; Seogkyu Jeon; Huan Yang; Jianlong Fu; Hyeran Byun; | iccv | 2021-10-08 |
| 304 | GeoGAN: A Conditional GAN With Reconstruction And Style Loss To Generate Standard Layer Of Maps From Satellite Images IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We created a database of pairs of satellite images and the corresponding map of the area. |
Swetava Ganguli; Pedro Garzon; Noa Glaser; | arxiv-cs.CV | 2019-02-14 |
| 305 | Domain Adaptive Text Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we examine domain adaptation for text style transfer to leverage massively available data from other domains. |
DIANQI LI et. al. | arxiv-cs.CL | 2019-08-25 |
| 306 | Optical Flow Distillation: Towards Efficient And Stable Video Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper proposes to learn a lightweight video style transfer network via knowledge distillation paradigm. |
XINGHAO CHEN et. al. | eccv | 2020-08-21 |
| 307 | Domain Adaptive Text Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we examine domain adaptation for text style transfer to leverage massively available data from other domains. |
DIANQI LI et. al. | emnlp | 2019-11-02 |
| 308 | MagicMix: Semantic Mixing with Diffusion Models IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Have you ever imagined what a corgi-alike coffee machine or a tiger-alike rabbit would look like? In this work, we attempt to answer these questions by exploring a new task called semantic mixing, aiming at blending two different semantics to create a new concept (e.g., corgi + coffee machine — > corgi-alike coffee machine). |
Jun Hao Liew; Hanshu Yan; Daquan Zhou; Jiashi Feng; | arxiv-cs.CV | 2022-10-28 |
| 309 | Generative Semantic Manipulation With Mask-Contrasting GAN IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we focus on a more challenging semantic manipulation task, aiming at modifying the semantic meaning of an object while preserving its own characteristics (e.g. viewpoints and shapes), such as cow$ ightarrow$sheep, motor$ ightarrow$ bicycle, cat$ ightarrow$dog. |
Xiaodan Liang; Hao Zhang; Liang Lin; Eric Xing; | eccv | 2018-09-10 |
| 310 | Generative Adversarial Style Transfer Networks for Face Aging IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: How somebody looked like when younger? What could a person look like when 10 years older? In this paper we look at the problem of face aging, which relates to processing an image … |
Sveinn Palsson; Eirikur Agustsson; Radu Timofte; Luc Van Gool; | 2018 IEEE/CVF Conference on Computer Vision and Pattern … | 2018-01-01 |
| 311 | Deformable Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose deformable style transfer (DST), an optimization-based approach that jointly stylizes the texture and geometry of a content image to better match a style image. |
Sunnie S. Y. Kim; Nicholas Kolkin; Jason Salavon; Gregory Shakhnarovich; | eccv | 2020-08-21 |
| 312 | StyleAlign: Analysis and Applications of Aligned StyleGAN Models IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we perform an in-depth study of the properties and applications of aligned generative models. |
Zongze Wu; Yotam Nitzan; Eli Shechtman; Dani Lischinski; | arxiv-cs.CV | 2021-10-21 |
| 313 | Joint Bilateral Learning For Real-time Universal Photorealistic Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose a new end-to-end model for photorealistic style transfer that is both fast and inherently generates photorealistic results. |
XIDE XIA et. al. | eccv | 2020-08-21 |
| 314 | Data Augmentation on Plant Leaf Disease Image Dataset Using Image Manipulation and Deep Learning Techniques IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: A large volume of data will increase the performance of machine learning algorithms and avoid overfitting problems. Collecting a large amount of training data in the agricultural … |
J Arun Pandian; G Geetharamani; B Annette; | 2019 IEEE 9th International Conference on Advanced … | 2019-01-01 |
| 315 | Show, Attend And Translate: Unsupervised Image Translation With Self-Regularization And Attention IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We constrain the problem with the assumption that the translated image needs to be perceptually similar to the original image and also appears to be drawn from the new domain, and propose a simple yet effective image translation model consisting of a single generator trained with a self-regularization term and an adversarial term. |
Chao Yang; Taehwan Kim; Ruizhe Wang; Hao Peng; C. -C. Jay Kuo; | arxiv-cs.CV | 2018-06-16 |
| 316 | TET-GAN: Text Effects Transfer Via Stylization And Destylization IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we focus on the use of the powerful representation abilities of deep neural features for text effects transfer. |
Shuai Yang; Jiaying Liu; Wenjing Wang; Zongming Guo; | aaai | 2019-01-27 |
| 317 | Visualizing Adapted Knowledge in Domain Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To enforce similar outputs from the two branches and depict the adapted knowledge, we propose a source-free image translation method that generates source-style images using only target images and the two models. |
Yunzhong Hou; Liang Zheng; | cvpr | 2021-06-11 |
| 318 | AutoStyle: Automatic Style Transfer from Image Collections to Users’ Images IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Stylizing photos, to give them an antique or artistic look, has become popular in recent years. The available stylization filters, however, are usually created manually by … |
Yiming Liu; Michael F. Cohen; Matthew Uyttendaele; Szymon Rusinkiewicz; | Computer Graphics Forum | 2014-01-01 |
| 319 | Learning Graph Neural Networks for Image Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we study a novel semi-parametric neural style transfer framework that alleviates the deficiency of both parametric and non-parametric stylization. |
YONGCHENG JING et. al. | arxiv-cs.CV | 2022-07-24 |
| 320 | AesUST: Towards Aesthetic-Enhanced Universal Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, existing approaches suffer from the aesthetic-unrealistic problem that introduces disharmonious patterns and evident artifacts, making the results easy to spot from real paintings. To address this limitation, we propose AesUST, a novel Aesthetic-enhanced Universal Style Transfer approach that can generate aesthetically more realistic and pleasing results for arbitrary styles. |
ZHIZHONG WANG et. al. | arxiv-cs.CV | 2022-08-27 |
| 321 | Transport-Based Neural Style Transfer For Smoke Simulations IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose the first Transport-based Neural Style Transfer (TNST) algorithm for volumetric smoke data. |
Byungsoo Kim; Vinicius C. Azevedo; Markus Gross; Barbara Solenthaler; | arxiv-cs.GR | 2019-05-17 |
| 322 | StyleRF: Zero-Shot 3D Style Transfer of Neural Radiance Fields IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose StyleRF (Style Radiance Fields), an innovative 3D style transfer technique that resolves the three-way dilemma by performing style transformation within the feature space of a radiance field. |
KUNHAO LIU et. al. | cvpr | 2023-05-17 |
| 323 | StyleRF: Zero-shot 3D Style Transfer of Neural Radiance Fields IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose StyleRF (Style Radiance Fields), an innovative 3D style transfer technique that resolves the three-way dilemma by performing style transformation within the feature space of a radiance field. |
KUNHAO LIU et. al. | arxiv-cs.CV | 2023-03-19 |
| 324 | Adaptive Convolutions for Structure-Aware Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose Adaptive Convolutions (AdaConv), a generic extension of AdaIN, to allow for the simultaneous transfer of both statistical and structural styles in real time. |
Prashanth Chandran; Gaspard Zoss; Paulo Gotardo; Markus Gross; Derek Bradley; | cvpr | 2021-06-11 |
| 325 | Cross Attention Based Style Distribution for Controllable Person Image Synthesis IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a cross attention based style distribution module that computes between the source semantic styles and target pose for pose transfer. |
XINYUE ZHOU et. al. | eccv | 2022-10-19 |
| 326 | ExprADA: Adversarial Domain Adaptation for Facial Expression Analysis IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View |
Behzad Bozorgtabar; Dwarikanath Mahapatra; Jean-Philippe Thiran; | Pattern Recognit. | 2020-01-01 |
| 327 | Neural Style Transfer Improves 3D Cardiovascular MR Image Segmentation On Inconsistent Data IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we present StyleSegor, an efficient and easy-to-use strategy to alleviate this inconsistency issue. |
Chunwei Ma; Zhanghexuan Ji; Mingchen Gao; | arxiv-cs.CV | 2019-09-20 |
| 328 | Style Injection in Diffusion: A Training-free Approach for Adapting Large-scale Diffusion Models for Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Despite the impressive generative capabilities of diffusion models existing diffusion model-based style transfer methods require inference-stage optimization (e.g. fine-tuning or textual inversion of style) which is time-consuming or fails to leverage the generative ability of large-scale diffusion models. To address these issues we introduce a novel artistic style transfer method based on a pre-trained large-scale diffusion model without any optimization. |
Jiwoo Chung; Sangeek Hyun; Jae-Pil Heo; | cvpr | 2024-06-13 |
| 329 | Tactile Sim-to-Real Policy Transfer Via Real-to-Sim Image Translation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we present a suite of simulated environments tailored towards tactile robotics and reinforcement learning. |
Alex Church; John Lloyd; Raia Hadsell; Nathan F. Lepora; | arxiv-cs.RO | 2021-06-16 |
| 330 | Quality-aware Unpaired Image-to-Image Translation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To tackle the above two challenges, in this paper, we propose a unified quality-aware GAN-based framework for unpaired image-to-image translation, where a quality-aware loss is explicitly incorporated by comparing each source image and the reconstructed image at the domain level. |
Lei Chen; Le Wu; Zhenzhen Hu; Meng Wang; | arxiv-cs.CV | 2019-03-15 |
| 331 | Image-Based CLIP-Guided Essence Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Our blending operator combines the powerful StyleGAN generator and the semantic encoder of CLIP in a novel way that is simultaneously additive in both latent spaces, resulting in a mechanism that guarantees both identity preservation and high-level feature transfer without relying on a facial recognition network. |
Hila Chefer; Sagie Benaim; Roni Paiss; Lior Wolf; | eccv | 2022-10-19 |
| 332 | Exploring Explicit Domain Supervision For Latent Space Disentanglement In Unpaired Image-to-Image Translation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we treat domain information as explicit supervision and design an unpaired image-to-image translation framework, Domain-supervised GAN (DosGAN), which takes the first step towards the exploration of explicit domain supervision. |
JIANXIN LIN et. al. | arxiv-cs.CV | 2019-02-11 |
| 333 | Dual Generator Generative Adversarial Networks For Multi-Domain Image-to-Image Translation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To tackle these issues, we propose a Dual Generator Generative Adversarial Network (G$^2$GAN), which is a robust and scalable approach allowing to perform unpaired image-to-image translation for multiple domains using only dual generators within a single model. |
Hao Tang; Dan Xu; Wei Wang; Yan Yan; Nicu Sebe; | arxiv-cs.CV | 2019-01-14 |
| 334 | Wasserstein Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose Gaussian optimal transport for image style transfer in an Encoder/Decoder framework. |
Youssef Mroueh; | aistats | 2020-06-18 |
| 335 | Photorealistic Style Transfer With Screened Poisson Equation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper we propose an approach that takes as input a stylized image and makes it more photorealistic. |
Roey Mechrez; Eli Shechtman; Lihi Zelnik-Manor; | arxiv-cs.CV | 2017-09-28 |
| 336 | Neural Style Transfer: A Paradigm Shift for Image-based Artistic Rendering? IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In this meta paper we discuss image-based artistic rendering (IB-AR) based on neural style transfer (NST) and argue, while NST may represent a paradigm shift for IB-AR, that it … |
Amir Semmo; Tobias Isenberg; Jürgen Döllner; | 2017-01-01 | |
| 337 | Zero-Shot Contrastive Loss for Text-Guided Diffusion Image Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Existing methods require computationally expensive fine-tuning of diffusion models or additional neural network. To address this, here we propose a zero-shot contrastive loss for diffusion models that doesn’t require additional fine-tuning or auxiliary networks. |
Serin Yang; Hyunmin Hwang; Jong Chul Ye; | iccv | 2023-09-27 |
| 338 | Structured Content Preservation For Unsupervised Text Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper proposes a structured content preserving model that leverages linguistic information in the structured fine-grained supervisions to better preserve the style-independent content during style transfer. |
Youzhi Tian; Zhiting Hu; Zhou Yu; | arxiv-cs.CL | 2018-10-15 |
| 339 | Semi-supervised Text Style Transfer: Cross Projection In Latent Space IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: With these two types of training data, we introduce a projection function between the latent space of different styles and design two constraints to train it. |
MINGYUE SHANG et. al. | emnlp | 2019-11-02 |
| 340 | Music Style Transfer: A Position Paper IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Led by the success of neural style transfer on visual arts, there has been a rising trend very recently in the effort of music style transfer. |
Shuqi Dai; Zheng Zhang; Gus G. Xia; | arxiv-cs.SD | 2018-03-19 |
| 341 | 7.4 GANPU: A 135TFLOPS/W Multi-DNN Training Processor for GANs with Speculative Dual-Sparsity Exploitation IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Generative adversarial networks (GAN) have a wide range of applications, from image style transfer to synthetic voice generation [1]. GAN applications on mobile devices, such as … |
SANGHOON KANG et. al. | 2020 IEEE International Solid- State Circuits Conference – … | 2020-01-01 |
| 342 | Image Stylization By Interactive Oil Paint Filtering IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View |
Amir Semmo; Daniel Limberger; Jan Eric Kyprianidis; Jürgen Döllner; | Comput. Graph. | 2016-01-01 |
| 343 | Manifold Alignment for Semantically Aligned Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Based on this assumption, the style transfer problem is formulated as aligning two multi-manifold distributions and a Manifold Alignment based Style Transfer (MAST) framework is proposed. |
JING HUO et. al. | iccv | 2021-10-08 |
| 344 | MagicEdit: High-Fidelity and Temporally Coherent Video Editing IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this report, we present MagicEdit, a surprisingly simple yet effective solution to the text-guided video editing task. |
Jun Hao Liew; Hanshu Yan; Jianfeng Zhang; Zhongcong Xu; Jiashi Feng; | arxiv-cs.CV | 2023-08-28 |
| 345 | Motion Puzzle: Arbitrary Motion Style Transfer By Body Part IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper presents Motion Puzzle, a novel motion style transfer network that advances the state-of-the-art in several important respects. |
Deok-Kyeong Jang; Soomin Park; Sung-Hee Lee; | arxiv-cs.GR | 2022-02-10 |
| 346 | Deep Video Color Propagation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work we propose a deep learning framework for color propagation that combines a local strategy, to propagate colors frame-by-frame ensuring temporal stability, and a global strategy, using semantics for color propagation within a longer range. |
Simone Meyer; Victor Cornillère; Abdelaziz Djelouah; Christopher Schroers; Markus Gross; | arxiv-cs.CV | 2018-08-09 |
| 347 | GANILLA: Generative Adversarial Networks For Image To Illustration Translation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we explore illustrations in children’s books as a new domain in unpaired image-to-image translation. |
Samet Hicsonmez; Nermin Samet; Emre Akbas; Pinar Duygulu; | arxiv-cs.CV | 2020-02-13 |
| 348 | DynaST: Dynamic Sparse Transformer for Exemplar-Guided Image Generation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a dynamic sparse attention based Transformer model, termed Dynamic Sparse Transformer (DynaST), to achieve fine-level matching with favorable efficiency. |
Songhua Liu; Jingwen Ye; Sucheng Ren; Xinchao Wang; | arxiv-cs.CV | 2022-07-13 |
| 349 | Touch and Go: Learning from Human-Collected Vision and Touch IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a dataset with paired visual and tactile data called Touch and Go, in which human data collectors probe objects in natural environments using tactile sensors, while simultaneously recording egocentric video. |
FENGYU YANG et. al. | arxiv-cs.CV | 2022-11-22 |
| 350 | In The Light of Feature Distributions: Moment Matching for Neural Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose a novel approach that matches the distributions more precisely, thus reproducing the desired style more faithfully, while still being computationally efficient. |
Nikolai Kalischek; Jan D. Wegner; Konrad Schindler; | cvpr | 2021-06-11 |
| 351 | Co-Attention for Conditioned Image Matching IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a new approach to determine correspondences between image pairs in the wild under large changes in illumination, viewpoint, context, and material. |
Olivia Wiles; Sebastien Ehrhardt; Andrew Zisserman; | cvpr | 2021-06-11 |
| 352 | Transfusive Image Manipulation IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: We present a method for consistent automatic transfer of edits applied to one image to many other images of the same object or scene. By introducing novel, content-adaptive weight … |
Kaan Yücer; Alec Jacobson; Alexander Sorkine-Hornung; Olga Sorkine-Hornung; | ACM Transactions on Graphics (TOG) | 2012-01-01 |
| 353 | A Brief Survey Of Recent Edge-Preserving Smoothing Algorithms On Digital Images IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper provides a concrete introduction to edge preserving filters starting from the heat diffusion equation in olden to recent eras, an overview of its numerous applications, as well as mathematical analysis, various efficient and optimized ways of implementation and their interrelationships, keeping focus on preserving the boundaries, spikes and canyons in presence of noise. |
Chandrajit Pal; Amlan Chakrabarti; Ranjan Ghosh; | arxiv-cs.CV | 2015-03-25 |
| 354 | Zero Shot Objects Classification Method of Side Scan Sonar Image Based on Synthesis of Pseudo Samples IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View |
Chuanlong Li; Xiufen Ye; Dongxiang Cao; Jie Hou; Haibo Yang; | Applied Acoustics | 2021-01-01 |
| 355 | 3D Photo Stylization: Learning To Generate Stylized Novel Views From A Single Image IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we make a connection between the two, and address the challenging task of 3D photo stylization – generating stylized novel views from a single image given an arbitrary style. |
Fangzhou Mu; Jian Wang; Yicheng Wu; Yin Li; | cvpr | 2022-06-07 |
| 356 | Recolored Image Detection Via A Deep Discriminative Model IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Image recoloring is a technique that can transfer image color or theme and result in an imperceptible change in human eyes. Although image recoloring is one of the most important … |
Yanyang Yan; Wenqi Ren; Xiaochun Cao; | IEEE Transactions on Information Forensics and Security | 2019-01-01 |
| 357 | In The Light of Feature Distributions: Moment Matching for Neural Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose a novel approach that matches the distributions more precisely, thus reproducing the desired style more faithfully, while still being computationally efficient. |
Nikolai Kalischek; Jan Dirk Wegner; Konrad Schindler; | arxiv-cs.CV | 2021-03-12 |
| 358 | UPST-NeRF: Universal Photorealistic Style Transfer of Neural Radiance Fields for 3D Scene IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Therefore, a styling image must retrain a 3D scene representation network based on a neural radiation field. We propose a novel 3D scene photorealistic style transfer framework to address these issues. |
YAOSEN CHEN et. al. | arxiv-cs.CV | 2022-08-15 |
| 359 | PoNA: Pose-guided Non-local Attention For Human Pose Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose a new human pose transfer method using a generative adversarial network (GAN) with simplified cascaded blocks. |
Kun Li; Jinsong Zhang; Yebin Liu; Yu-Kun Lai; Qionghai Dai; | arxiv-cs.CV | 2020-12-13 |
| 360 | Product Innovation Concept Generation Based on Deep Learning and Kansei Engineering IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Industrial designers often present their initial concepts as design sketches. Rapid creation of new product conceptual images that meet users’ affective preferences remains … |
Xiong Li; Jianning Su; Zhipeng Zhang; Ruisheng Bai; | Journal of Engineering Design | 2021-01-01 |
| 361 | Smoothing The Disentangled Latent Style Space for Unsupervised Image-to-Image Translation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a new training protocol based on three specific losses which help a translation network to learn a smooth and disentangled latent style space in which: 1) Both intra- and inter-domain interpolations correspond to gradual changes in the generated images and 2) The content of the source image is better preserved during the translation. |
YAHUI LIU et. al. | arxiv-cs.CV | 2021-06-16 |
| 362 | Style-aware Robust Color Transfer IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Transferring features, such as light and colors, between input and reference images is the main objective of color transfer methods. Current state-of-the-art methods focus mainly … |
Hristina Hristova; Olivier Le Meur; Rémi Cozot; Kadi Bouatouch; | 2015-01-01 | |
| 363 | Learning Image-to-image Translation Using Paired And Unpaired Training Samples IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a new general purpose image-to-image translation model that is able to utilize both paired and unpaired training data simultaneously. |
Soumya Tripathy; Juho Kannala; Esa Rahtu; | arxiv-cs.CV | 2018-05-08 |
| 364 | InstaFormer: Instance-Aware Image-to-Image Translation With Transformer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present a novel Transformer-based network architecture for instance-aware image-to-image translation, dubbed InstaFormer, to effectively integrate global- and instance-level information. |
Soohyun Kim; Jongbeom Baek; Jihye Park; Gyeongnyeon Kim; Seungryong Kim; | cvpr | 2022-06-07 |
| 365 | Image Steganography Based on Style Transfer and Quaternion Exponent Moments IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View |
QI LI et. al. | Appl. Soft Comput. | 2021-01-01 |
| 366 | Enhancing Image Quality Via Style Transfer for Single Image Super-Resolution IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Recently, by feat of the Generative Adversarial Network (GAN), single image super-resolution (SISR) has achieved great breakthroughs in enhancing the perceptual image quality. … |
Xin Deng; | IEEE Signal Processing Letters | 2018-01-01 |
| 367 | Variational Interaction Information Maximization For Cross-domain Disentanglement IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We derive a tractable bound of the objective and propose a generative model named Interaction Information Auto-Encoder (IIAE). |
HyeongJoo Hwang; Geon-Hyeong Kim; Seunghoon Hong; Kee-Eung Kim; | arxiv-cs.CV | 2020-12-08 |
| 368 | Consistent Video Style Transfer Via Compound Regularization IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Combining with the new cost formula, we design a zero-shot video style transfer framework. |
Wenjing Wang; Jizheng Xu; Li Zhang; Yue Wang; Jiaying Liu; | aaai | 2020-02-07 |
| 369 | Memory-Guided Unsupervised Image-to-Image Translation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a novel unsupervised framework for instance-level image-to-image translation. |
Somi Jeong; Youngjung Kim; Eungbean Lee; Kwanghoon Sohn; | cvpr | 2021-06-11 |
| 370 | Groove2Groove: One-Shot Music Style Transfer With Supervision From Synthetic Data IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Abstract: Style transfer is the process of changing the style of an image, video, audio clip or musical piece so as to match the style of a given example. Even though the task has … |
Ondřej Cífka; Umut Şimşekli; Gaël Richard; | IEEE/ACM Transactions on Audio, Speech, and Language … | 2020-01-01 |
| 371 | MicroAST: Towards Super-fast Ultra-Resolution Arbitrary Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Despite the recent rapid progress, existing AST methods are either incapable or too slow to run at ultra-resolutions (e.g., 4K) with limited resources, which heavily hinders their further applications. In this paper, we tackle this dilemma by learning a straightforward and lightweight model, dubbed MicroAST. |
ZHIZHONG WANG et. al. | aaai | 2023-06-26 |
| 372 | Style-Aware Normalized Loss for Improving Arbitrary Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We systematically study the cause of this imbalanced style transferability (IST) and propose a simple yet effective solution to mitigate this issue. |
Jiaxin Cheng; Ayush Jaiswal; Yue Wu; Pradeep Natarajan; Prem Natarajan; | cvpr | 2021-06-11 |
| 373 | Pose-driven Attention-guided Image Generation for Person Re-Identification IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To solve this issue, in this paper we propose an end-to-end pose-driven attention-guided generative adversarial network, to generate multiple poses of a person. |
Amena Khatun; Simon Denman; Sridha Sridharan; Clinton Fookes; | arxiv-cs.CV | 2021-04-28 |
| 374 | Language-Driven Artistic Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce a new task—language-driven artistic style transfer (LDAST)—to manipulate the style of a content image, guided by a text. |
Tsu-Jui Fu; Xin Eric Wang; William Yang Wang; | eccv | 2022-10-19 |
| 375 | Unsupervised Multi-Domain Image Translation With Domain-Specific Encoders/Decoders IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To address this problem, we propose a novel and unified framework named Domain-Bank, which consists of a global shared auto-encoder and $n$ domain-specific encoders/decoders, assuming that a universal shared-latent sapce can be projected. |
LE HUI et. al. | arxiv-cs.CV | 2017-12-06 |
| 376 | Crossing-Domain Generative Adversarial Networks For Unsupervised Multi-Domain Image-to-Image Translation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose a general framework for unsupervised image-to-image translation across multiple domains, which can translate images from domain X to any a domain without requiring direct training between the two domains involved in image translation. |
Xuewen Yang; Dongliang Xie; Xin Wang; | arxiv-cs.CV | 2020-08-26 |
| 377 | Paparazzi: Surface Editing By Way of Multi-view Image Processing IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Fig. 1. Paparazzi enables plug-and-play image processing algorithms on 3D shapes. For instance, superpixel produces a Mosaic style shape; L0 norm makes the shape piecewise planar … |
Hsueh-Ti Derek Liu; Michael Tao; Alec Jacobson; | ACM Trans. Graph. | 2018-01-01 |
| 378 | Son Of Zorn’s Lemma: Targeted Style Transfer Using Instance-aware Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a method for targeted style transfer that simultaneously segments and stylizes single objects selected by the user. |
CARLOS CASTILLO et. al. | arxiv-cs.CV | 2017-01-09 |
| 379 | Self-Supervised Sketch-to-Image Synthesis IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Unlike previous methods that either require the sketch-image pairs or utilize low-quantity detected edges as sketches, we study the exemplar-based sketch-to-image (s2i) synthesis task in a self-supervised learning manner, eliminating the necessity of the paired sketch data. |
Bingchen Liu; Yizhe Zhu; Kunpeng Song; Ahmed Elgammal; | aaai | 2021-02-09 |
| 380 | Style-Controlled Synthesis of Clothing Segments for Fashion Image Manipulation IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: We propose an approach for digitally altering people’s outfits in images. Given images of a person and a desired clothing style, our method generates a new clothing item image. … |
Bo-Kyeong Kim; Geonmin Kim; Soo-Young Lee; | IEEE Transactions on Multimedia | 2020-01-01 |
| 381 | Unified Generative Adversarial Networks For Controllable Image-to-Image Translation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose a unified Generative Adversarial Network (GAN) for controllable image-to-image translation, i.e., transferring an image from a source to a target domain guided by controllable structures. |
Hao Tang; Hong Liu; Nicu Sebe; | arxiv-cs.CV | 2019-12-12 |
| 382 | Indoor Camera Pose Estimation Via Style‐transfer 3D Models IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Many vision‐based indoor localization methods require tedious and comprehensive pre‐mapping of built environments. This research proposes a mapping‐free approach to estimating … |
Junjie Chen; Shuai Li; Donghai Liu; Weisheng Lu; | Computer‐Aided Civil and Infrastructure Engineering | 2021-06-28 |
| 383 | SketchEdit: Mask-Free Local Image Manipulation With Partial Sketches IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Although this setup simplifies data preparation and model design, it complicates user interaction and discards useful information in masked regions. To this end, we propose a new framework for sketch-based image manipulation that only requires sketch inputs from users and utilizes the entire original image. |
Yu Zeng; Zhe Lin; Vishal M. Patel; | cvpr | 2022-06-07 |
| 384 | Evaluating Generative Adversarial Networks Based Image-level Domain Transfer for Multi-source Remote Sensing Image Segmentation and Object Detection IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Appearances and qualities of remote sensing images are affected by different atmospheric conditions, quality of sensors, and radiometric calibrations. This heavily challenges the … |
Xue Li; Muying Luo; Shunping Ji; Li Zhang; Meng Lu; | International Journal of Remote Sensing | 2020-01-01 |
| 385 | CoMoGAN: Continuous Model-guided Image-to-image Translation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To that matter, we introduce a new Functional Instance Normalization layer and residual mechanism, which together disentangle image content from position on target manifold. |
Fabio Pizzati; Pietro Cerri; Raoul de Charette; | arxiv-cs.CV | 2021-03-11 |
| 386 | PSNet: A Style Transfer Network for Point Cloud Stylization on Geometry and Color IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: We propose a neural style transfer method for colored point clouds which allows stylizing the geometry and/or color property of a point cloud from another. The stylization is … |
Xu Cao; Weimin Wang; Katashi Nagao; Ryosuke Nakamura; | 2020 IEEE Winter Conference on Applications of Computer … | 2020-01-01 |
| 387 | Neural Font Style Transfer IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In this paper, we chose an approach to generate fonts by using neural style transfer. Neural style transfer uses Convolution Neural Networks(CNN) to transfer the style of one … |
Gantugs Atarsaikhan; Brian Kenji Iwana; Atsushi Narusawa; Keiji Yanai; Seiichi Uchida; | 2017 14th IAPR International Conference on Document … | 2017-01-01 |
| 388 | Learnable Stroke Models for Example-based Portrait Painting IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: We present a novel algorithm for stylizing photographs into portrait paintings comprised of curved brush strokes. Rather than drawing upon a prescribed set of heuristics to place … |
Tinghuai Wang; John P. Collomosse; Andrew Hunter; Darryl Greig; | 2013-01-01 | |
| 389 | AFF-UNIT: Adaptive Feature Fusion for Unsupervised Image-to-image Translation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View |
Yuqiang Li; Haochen Meng; Hong Lin; Chun Liu; | IET Image Process. | 2021-07-23 |
| 390 | StyleCLIPDraw: Coupling Content and Style in Text-to-Drawing Translation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present an approach for generating styled drawings for a given text description where a user can specify a desired drawing style using a sample image. |
Peter Schaldenbrand; Zhixuan Liu; Jean Oh; | ijcai | 2022-07-01 |
| 391 | Neural Style Transfer for Image Steganography and Destylization with Supervised Image to Image Translation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View |
Mallika Garg; J. S. Ubhi; A. Aggarwal; | Multimedia Tools and Applications | 2022-08-08 |
| 392 | Unsupervised Depth Estimation, 3D Face Rotation and Replacement IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present an unsupervised approach for learning to estimate three dimensional (3D) facial structure from a single image while also predicting 3D viewpoint transformations that match a desired pose and facial geometry. |
Joel Ruben Antony Moniz; Christopher Beckham; Simon Rajotte; Sina Honari; Chris Pal; | nips | 2018-12-04 |
| 393 | Unsupervised Depth Estimation, 3D Face Rotation And Replacement IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present an unsupervised approach for learning to estimate three dimensional (3D) facial structure from a single image while also predicting 3D viewpoint transformations that match a desired pose and facial geometry. |
Joel Ruben Antony Moniz; Christopher Beckham; Simon Rajotte; Sina Honari; Christopher Pal; | arxiv-cs.CV | 2018-03-25 |
| 394 | SingleGAN: Image-to-Image Translation By A Single-Generator Network Using Multiple Generative Adversarial Learning IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a novel method, SingleGAN, to perform multi-domain image-to-image translations with a single generator. |
Xiaoming Yu; Xing Cai; Zhenqiang Ying; Thomas Li; Ge Li; | arxiv-cs.CV | 2018-10-11 |
| 395 | Image Stylization with A Painting Machine Using Semantic Hints IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View |
Thomas Lindemeier; Sören Pirk; Oliver Deussen; | Comput. Graph. | 2013-01-01 |
| 396 | Vid2Actor: Free-viewpoint Animatable Person Synthesis From Video In The Wild IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Our method is an advance over GAN-based image-to-image translation since it allows image synthesis for any pose and camera via the internal 3D representation, while at the same time it does not require a pre-rigged model or ground truth meshes for training, as in mesh-based learning. |
Chung-Yi Weng; Brian Curless; Ira Kemelmacher-Shlizerman; | arxiv-cs.CV | 2020-12-23 |
| 397 | Face Transfer With Generative Adversarial Network IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose an end-to-end face transfer method based on Generative Adversarial Network. |
Runze Xu; Zhiming Zhou; Weinan Zhang; Yong Yu; | arxiv-cs.CV | 2017-10-17 |
| 398 | Generative Image Translation For Data Augmentation Of Bone Lesion Pathology IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we address the problem of classifying bone lesions from X-ray images by increasing the small number of positive samples in the training set. |
Anant Gupta; Srivas Venkatesh; Sumit Chopra; Christian Ledig; | arxiv-cs.LG | 2019-02-06 |
| 399 | Image-to-Image Translation-Based Data Augmentation for Improving Crop/Weed Classification Models for Precision Agriculture Applications IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Applications of deep-learning models in machine visions for crop/weed identification have remarkably upgraded the authenticity of precise weed management. However, compelling data … |
L. G. DIVYANTH et. al. | Algorithms | 2022-10-30 |
| 400 | CNN-based Style Vector for Style Image Retrieval IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In this paper, we have examined the effectiveness of style matrix which is used in the works on style transfer and texture synthesis by Gatys et al. in the context of image … |
Shin Matsuo; Keiji Yanai; | Proceedings of the 2016 ACM on International Conference on … | 2016-01-01 |
| 401 | DiffStyler: Controllable Dual Diffusion for Text-Driven Image Stylization IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we present DiffStyler on the basis of diffusion models. |
NISHA HUANG et. al. | arxiv-cs.CV | 2022-11-19 |
| 402 | Text As Neural Operator:Image Manipulation By Text Instruction IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: n recent years, text-guided image manipulation has gained increasing attention in the multimedia and computer vision community. The input to conditional image generation has … |
TIANHAO ZHANG et. al. | Proceedings of the 29th ACM International Conference on … | 2021-01-01 |
| 403 | Non‐Oriented MLS Gradient Fields IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: We introduce a new approach for defining continuous non‐oriented gradient fields from discrete inputs, a fundamental stage for a variety of computer graphics applications such as … |
Jiazhou Chen; Gaël Guennebaud; Pascal Barla; Xavier Granier; | Computer Graphics Forum | 2013-12-01 |
| 404 | Regional Style and Color Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Existing methods often suffer from the drawback of applying style homogeneously across the entire image, leading to stylistic inconsistencies or foreground object twisted when applied to image with foreground elements such as person figures. To address this limitation, we propose a new approach that leverages a segmentation network to precisely isolate foreground objects within the input image. |
Zhicheng Ding; Panfeng Li; Qikai Yang; Siyang Li; Qingtian Gong; | arxiv-cs.CV | 2024-04-22 |
| 405 | Deformation-aware Unpaired Image Translation For Pose Estimation On Laboratory Animals IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Our goal is to capture the pose of neuroscience model organisms, without using any manual supervision, to be able to study how neural circuits orchestrate behaviour. |
SIYUAN LI et. al. | arxiv-cs.CV | 2020-01-23 |
| 406 | Deepfakes and Image Manipulation: Criminalisation and Control IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deepfakes are a form of human image synthesis where an existing picture or image is superimposed into a video to change the identity of those depicted in the video. The technology … |
Tyrone Kirchengast; | Information & Communications Technology Law | 2020-01-01 |
| 407 | Diverse Image Style Transfer Via Invertible Cross-Space Mapping IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To address this limitation, we propose a Diverse Image Style Transfer (DIST) framework which achieves significant diversity by enforcing an invertible cross-space mapping. |
HAIBO CHEN et. al. | iccv | 2021-10-08 |
| 408 | Lagrangian Neural Style Transfer For Fluids IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we present a neural style transfer approach from images to 3D fluids formulated in a Lagrangian viewpoint. |
Byungsoo Kim; Vinicius C. Azevedo; Markus Gross; Barbara Solenthaler; | siggraph | 2020-08-14 |
| 409 | Deformation-Aware Unpaired Image Translation for Pose Estimation on Laboratory Animals IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Our goal is to capture the pose of real animals using synthetic training examples, without using any manual supervision. |
SIYUAN LI et. al. | cvpr | 2020-06-08 |
| 410 | Lightweight Modules For Efficient Deep Learning Based Image Restoration IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose several lightweight low-level modules which can be used to create a computationally low cost variant of a given baseline model. |
Avisek Lahiri; Sourav Bairagya; Sutanu Bera; Siddhant Haldar; Prabir Kumar Biswas; | arxiv-cs.CV | 2020-07-11 |
| 411 | Federated Domain Generalization for Image Recognition Via Cross-Client Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a novel domain generalization method for image recognition under federated learning through cross-client style transfer (CCST) without exchanging data samples. |
Junming Chen; Meirui Jiang; Qi Dou; Qifeng Chen; | arxiv-cs.CV | 2022-10-03 |
| 412 | Multi-Channel Attention Selection GANs for Guided Image-to-Image Translation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose a novel model named Multi-Channel Attention Selection Generative Adversarial Network (SelectionGAN) for guided image-to-image translation, where we translate an input image into another while respecting an external semantic guidance. |
Hao Tang; Philip H. S. Torr; Nicu Sebe; | arxiv-cs.CV | 2020-02-03 |
| 413 | Learning To Warp for Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Our contribution is to propose a neural network that, uniquely, learns a mapping from a 4D array of inter-feature distances to a non-parametric 2D warp field. |
Xiao-Chang Liu; Yong-Liang Yang; Peter Hall; | cvpr | 2021-06-11 |
| 414 | SDIT: Scalable And Diverse Cross-domain Image Translation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To address this limitation, we propose SDIT: Scalable and Diverse image-to-image translation. |
Yaxing Wang; Abel Gonzalez-Garcia; Joost van de Weijer; Luis Herranz; | arxiv-cs.CV | 2019-08-19 |
| 415 | Multi-Reference Neural TTS Stylization With Adversarial Cycle Consistency IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose an adversarial cycle consistency training scheme with paired and unpaired triplets to ensure the use of information from all style dimensions. |
Matt Whitehill; Shuang Ma; Daniel McDuff; Yale Song; | arxiv-cs.LG | 2019-10-25 |
| 416 | Sparsely Grouped Multi-task Generative Adversarial Networks For Facial Attribute Manipulation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To overcome such a key limitation, we propose Sparsely Grouped Generative Adversarial Networks (SG-GAN) as a novel approach that can translate images on sparsely grouped datasets where only a few samples for training are labelled. |
JICHAO ZHANG et. al. | arxiv-cs.CV | 2018-05-19 |
| 417 | Asymmetric Joint GANs for Normalizing Face Illumination From A Single Image IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Illumination normalization for face recognition is very important when a face is captured under harsh lighting conditions. Instead of designing hand-crafted features, in this … |
Xianjun Han; Hongyu Yang; Guanyu Xing; Yanli Liu; | IEEE Transactions on Multimedia | 2020-01-01 |
| 418 | Towards Deep Style Transfer: A Content-Aware Perspective IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Modern research has demonstrated that many eye-catching images can be generated by style transfer via deep neural network. There is, however, a dearth of research on content-aware … |
Yi-Lei Chen; Chiou-Ting Hsu; | 2016-01-01 | |
| 419 | Unpaired Photo-to-Caricature Translation On Faces In The Wild IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present an approach for learning to translate faces in the wild from the source photo domain to the target caricature domain with different styles, which can also be used for other high-level image-to-image translation tasks. |
ZIQIANG ZHENG et. al. | arxiv-cs.CV | 2017-11-29 |
| 420 | Image-to-Image Translation Using Generative Adversarial Network IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Now a days, Generative Adversarial Networks (GANs) are an arising technology for both supervised and unsupervised learning which have capability to generate data of high standard. … |
Kusam Lata; Mayank Dave; K N Nishanth; | 2019 3rd International conference on Electronics, … | 2019-01-01 |
| 421 | DiffFashion: Reference-based Fashion Design with Structure-aware Transfer By Diffusion Models IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Although diffusion-based image translation or neural style transfer (NST) has enabled flexible style transfer, it is often difficult to maintain the original structure of the image realistically during the reverse diffusion, especially when the referenced appearance image greatly differs from the common clothing appearance. To tackle this issue, we present a novel diffusion model-based unsupervised structure-aware transfer method to semantically generate new clothes from a given clothing image and a reference appearance image. |
SHIDONG CAO et. al. | arxiv-cs.CV | 2023-02-13 |
| 422 | Example-based Turbulence Style Transfer IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Generating realistic fluid simulations remains computationally expensive, and animators can expend enormous effort trying to achieve a desired motion. To reduce such costs, … |
Syuhei Sato; Yoshinori Dobashi; Theodore Kim; Tomoyuki Nishita; | ACM Transactions on Graphics (TOG) | 2018-01-01 |
| 423 | A Unified Framework For Generalizable Style Transfer: Style And Content Separation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We here propose a unified style transfer framework for both character typeface transfer and neural style transfer tasks leveraging style and content separation. |
Yexun Zhang; Ya Zhang; Wenbin Cai; | arxiv-cs.CV | 2018-06-12 |
| 424 | ZM-Net: Real-time Zero-shot Image Manipulation Network IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we make the first attempt to address the zero-shot image manipulation task. |
Hao Wang; Xiaodan Liang; Hao Zhang; Dit-Yan Yeung; Eric P. Xing; | arxiv-cs.CV | 2017-03-21 |
| 425 | 3D Material Style Transfer IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This work proposes a technique to transfer the material style or mood from a guide source such as an image or video onto a target 3D scene. It formulates the problem as a … |
Chuong H. Nguyen; Tobias Ritschel; Karol Myszkowski; Elmar Eisemann; Hans-Peter Seidel; | Computer Graphics Forum | 2012-01-01 |
| 426 | Synthesizing Filamentary Structured Images With GANs IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper aims at synthesizing filamentary structured images such as retinal fundus images and neuronal images, as follows: Given a ground-truth, to generate multiple realistic looking phantoms. |
He Zhao; Huiqi Li; Li Cheng; | arxiv-cs.CV | 2017-06-07 |
| 427 | Semantic Invariant Cross-domain Image Generation with Generative Adversarial Networks IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View |
Xiaofeng Mao; Shuhui Wang; Liying Zheng; Qingming Huang; | Neurocomputing | 2018-01-01 |
| 428 | Photo-to-Caricature Translation on Faces in The Wild IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View |
Ziqiang Zheng; Haiyong Zheng; Zhibin Yu; Zhaorui Gu; Bing Zheng; | ArXiv | 2019-01-01 |
| 429 | Controllable Image-to-Video Translation: A Case Study On Facial Expression Generation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, for the sake of both furthering this exploration and our own interest in a realistic application, we study imageto-video translation and particularly focus on the videos of facial expressions. |
Lijie Fan; Wenbing Huang; Chuang Gan; Junzhou Huang; Boqing Gong; | aaai | 2019-01-27 |
| 430 | A Unified Framework for High Fidelity Face Swap and Expression Reenactment IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Face manipulation techniques improve fast with the development of powerful image generation models. Two particular face manipulation methods, namely face swap and expression … |
Bo Peng; Hongxing Fan; Wei Wang; Jing Dong; Siwei Lyu; | IEEE Transactions on Circuits and Systems for Video … | 2021-01-01 |
| 431 | Image Neural Style Transfer: A Review IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View |
Qiang Cai; Mengxu Ma; Chen Wang; Haisheng Li; | Comput. Electr. Eng. | 2023-05-01 |
| 432 | Exemplar-Based 3D Portrait Stylization IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present the first framework for one-shot 3D portrait style transfer, which can generate 3D face models with both the geometry exaggerated and the texture stylized while preserving the identity from the original content. |
Fangzhou Han; Shuquan Ye; Mingming He; Menglei Chai; Jing Liao; | arxiv-cs.CV | 2021-04-29 |
| 433 | Aesthetic-Aware Image Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a novel problem called Aesthetic-Aware Image Style Transfer task, which aims to transfer colour and texture separately and independently to manipulate the aesthetic effect of an image. |
Zhiyuan Hu; Jia Jia; Bei Liu; Yaohua Bu; Jianlong Fu; | mm | 2020-10-12 |
| 434 | Domain-Specific Mappings For Generative Adversarial Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: For addressing this issue, this paper leverages domain-specific mappings for remapping latent features in the shared content space to domain-specific content spaces. |
Hsin-Yu Chang; Zhixiang Wang; Yung-Yu Chuang; | eccv | 2020-08-21 |
| 435 | Mix and Match Networks: Encoder-Decoder Alignment for Zero-Pair Image Translation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We address the problem of image translation between domains or modalities for which no direct paired data is available (i.e. zero-pair translation). |
Yaxing Wang; Joost van de Weijer; Luis Herranz; | cvpr | 2018-06-17 |
| 436 | Image Manipulation Detection and Localization Based on The Dual-Domain Convolutional Neural Networks IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In multimedia forensics, many efforts have been made to detect whether an image is pristine or manipulated with high enough accuracies based on specially designed features and … |
Zenan Shi; Xuanjing Shen; Hui Kang; Yingda Lv; | IEEE Access | 2018-01-01 |
| 437 | Contextual Text Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To realize high-quality style transfer with natural context preservation, we propose a Context-Aware Style Transfer (CAST) model, which uses two separate encoders for each input sentence and its surrounding context. |
YU CHENG et. al. | emnlp | 2020-11-10 |
| 438 | Adversarial-learning-based Image-to-image Transformation: A Survey IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View |
Yuan Chen; Yang Zhao; Wei Jia; Li Cao; Xiaoping Liu; | Neurocomputing | 2020-01-01 |
| 439 | Neural Style Transfer: A Critical Review IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Neural Style Transfer (NST) is a class of software algorithms that allows us to transform scenes, change/edit the environment of a media with the help of a Neural Network. NST … |
AKHIL SINGH et. al. | IEEE Access | 2021-01-01 |
| 440 | BranchGAN: Unsupervised Mutual Image-to-Image Transfer With A Single Encoder and Dual Decoders IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Image-to-image translation is a fundamental task for a wide range of applications, such as image style transfer, video effect generation, cross-domain retrieval, etc. Due to the … |
YI-FAN ZHOU et. al. | IEEE Transactions on Multimedia | 2019-01-01 |
| 441 | Ground-A-Video: Zero-shot Grounded Video Editing Using Text-to-image Diffusion Models IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper introduces a novel grounding-guided video-to-video translation framework called Ground-A-Video for multi-attribute video editing. |
Hyeonho Jeong; Jong Chul Ye; | iclr | 2024-02-26 |
| 442 | Saliency-Guided Image Translation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a novel task for saliency-guided image translation, with the goal of image-to-image translation conditioned on the user specified saliency map. |
Lai Jiang; Mai Xu; Xiaofei Wang; Leonid Sigal; | cvpr | 2021-06-11 |
| 443 | Multi-Frame GAN: Image Enhancement For Stereo Visual Odometry In Low Light IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose the concept of a multi-frame GAN (MFGAN) and demonstrate its potential as an image sequence enhancement for stereo visual odometry in low light conditions. |
Eunah Jung; Nan Yang; Daniel Cremers; | arxiv-cs.RO | 2019-10-15 |
| 444 | Autoregressive Stylized Motion Synthesis With Generative Flow IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose an unsupervised approach for motion style transfer by synthesizing stylized motions autoregressively using a generative flow model M. M is trained to maximize the exact likelihood of a collection of unlabeled motions, based on an autoregressive context of poses in previous frames and a control signal representing the movement of a root joint. |
YU-HUI WEN et. al. | cvpr | 2021-06-11 |
| 445 | Evaluate and Improve The Quality of Neural Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View |
ZHIZHONG WANG et. al. | Comput. Vis. Image Underst. | 2021-01-01 |
| 446 | Arbitrary Style Transfer Using Neurally-guided Patch-based Synthesis IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View |
ONDŘEJ TEXLER et. al. | Comput. Graph. | 2020-01-01 |
| 447 | Multi-Attribute Transfer Via Disentangled Representation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a novel model formulating disentangled representations by projecting images to latent units, grouped feature channels of Convolutional Neural Network, to disassemble the information between different attributes. |
Jianfu Zhang; Yuanyuan Huang; Yaoyi Li; Weijie Zhao; Liqing Zhang; | aaai | 2019-01-27 |
| 448 | Revisiting CycleGAN For Semi-supervised Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we study the problem of training deep networks for semantic image segmentation using only a fraction of annotated images, which may significantly reduce human annotation efforts. |
Arnab Kumar Mondal; Aniket Agarwal; Jose Dolz; Christian Desrosiers; | arxiv-cs.CV | 2019-08-30 |
| 449 | When Deep Fool Meets Deep Prior: Adversarial Attack on Super-Resolution Network IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This paper investigates the vulnerability of the deep prior used in deep learning based image restoration. In particular, the image super-resolution, which relies on the strong … |
Minghao Yin; Yongbing Zhang; Xiu Li; Shiqi Wang; | Proceedings of the 26th ACM international conference on … | 2018-01-01 |
| 450 | Play As You Like: Timbre-Enhanced Multi-Modal Music Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose an unsupervised music style transfer method without the need for parallel data. |
Chien-Yu Lu; Min-Xin Xue; Chia-Che Chang; Che-Rung Lee; Li Su; | aaai | 2019-01-27 |
| 451 | Proactive Image Manipulation Detection IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: By contrast, we propose a proactive scheme to image manipulation detection. |
Vishal Asnani; Xi Yin; Tal Hassner; Sijia Liu; Xiaoming Liu; | cvpr | 2022-06-07 |
| 452 | Side-Scan Sonar Image Classification Based on Style Transfer and Pre-Trained Convolutional Neural Networks IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Side-scan sonar is widely used in underwater rescue and the detection of undersea targets, such as shipwrecks, aircraft crashes, etc. Automatic object classification plays an … |
QIANG GE et. al. | Electronics | 2021-01-01 |
| 453 | Dual Transfer Learning for Event-based End-task Prediction Via Pluggable Event to Image Translation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a simple yet flexible two-stream framework named Dual Transfer Learning (DTL) to effectively enhance the performance on the end-tasks without adding extra inference cost. |
Lin Wang; Yujeong Chae; Kuk-Jin Yoon; | arxiv-cs.CV | 2021-09-04 |
| 454 | Progressive Data Augmentation Method for Remote Sensing Ship Image Classification Based on Imaging Simulation System and Neural Style Transfer IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deep learning has shown great power in processing remote sensing data, especially for fine-grained remote sensing ship image classification. However, the lack of a large amount of … |
QI XIAO et. al. | IEEE Journal of Selected Topics in Applied Earth … | 2021-01-01 |
| 455 | Latent Filter Scaling for Multimodal Unsupervised Image-To-Image Translation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a simple method that produces higher quality images than current state-of-the-art while maintaining the same amount of multimodal diversity. |
Yazeed Alharbi; Neil Smith; Peter Wonka; | cvpr | 2019-06-14 |
| 456 | NTIRE 2021 Depth Guided Image Relighting Challenge IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we review the NTIRE 2021 depth guided image relighting challenge. |
Majed El Helou; Ruofan Zhou; Sabine Susstrunk; Radu Timofte; | arxiv-cs.CV | 2021-04-27 |
| 457 | Let There Be Light: Improved Traffic Surveillance Via Detail Preserving Night-to-Day Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a framework to alleviate the accuracy decline when object detection is taken to adverse conditions by using image translation method. |
LAN FU et. al. | arxiv-cs.CV | 2021-05-11 |
| 458 | ArtFID: Quantitative Evaluation of Neural Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To support the automatic comparison of different style transfer approaches and to study their respective strengths and weaknesses, the field would greatly benefit from a quantitative measurement of stylization performance. Therefore, we propose a method to complement the currently mostly qualitative evaluation schemes. |
Matthias Wright; Björn Ommer; | arxiv-cs.CV | 2022-07-25 |
| 459 | Weather GAN: Multi-Domain Weather Translation Using Generative Adversarial Networks IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, a new task is proposed, namely, weather translation, which refers to transferring weather conditions of the image from one category to another. |
Xuelong Li; Kai Kou; Bin Zhao; | arxiv-cs.CV | 2021-03-09 |
| 460 | A Benchmark Image Set for Evaluating Stylization IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The non-photorealistic rendering community has had difficulty evaluating its research results. Other areas of computer graphics, and related disciplines such as computer vision, … |
David Mould; Paul L. Rosin; | 2016-01-01 | |
| 461 | MetaStyle: Three-Way Trade-Off Among Speed, Flexibility, And Quality In Neural Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Motivated by this idea, we propose a novel method, coined MetaStyle, which formulates the neural style transfer as a bilevel optimization problem and combines learning with only a few post-processing update steps to adapt to a fast approximation model with satisfying artistic effects, comparable to the optimization-based methods for an arbitrary style. |
Chi Zhang; Yixin Zhu; Song-Chun Zhu; | arxiv-cs.CV | 2018-12-12 |
| 462 | Long-Term Temporally Consistent Unpaired Video Translation from Simulated Surgical 3D Data IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose a novel approach which combines unpaired image translation with neural rendering to transfer simulated to photorealistic surgical abdominal scenes. |
DOMINIK RIVOIR et. al. | arxiv-cs.CV | 2021-03-31 |
| 463 | How To Make An Image More Memorable? A Deep Style Transfer Approach IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we take a step forward addressing the question: Can we make an image more memorable? |
ALIAKSANDR SIAROHIN et. al. | arxiv-cs.CV | 2017-04-06 |
| 464 | Streetscape Augmentation Using Generative Adversarial Networks: Insights Related To Health And Wellbeing IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Our research shows this concept can be extended to analyse the design of streetscapes in relation to health and wellbeing outcomes. |
Jasper S. Wijnands; Kerry A. Nice; Jason Thompson; Haifeng Zhao; Mark Stevenson; | arxiv-cs.CY | 2019-05-13 |
| 465 | MOST-GAN: 3D Morphable StyleGAN for Disentangled Face Image Manipulation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In contrast, we propose a framework that a priori models physical attributes of the face such as 3D shape, albedo, pose, and lighting explicitly, thus providing disentanglement by design. |
SAFA C. MEDIN et. al. | aaai | 2022-02-07 |
| 466 | Context-Aware Text-Based Binary Image Stylization And Synthesis IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we present a new framework for the stylization of text-based binary images. |
Shuai Yang; Jiaying Liu; Wenhan Yang; Zongming Guo; | arxiv-cs.CV | 2018-10-08 |
| 467 | Long-Term Temporally Consistent Unpaired Video Translation From Simulated Surgical 3D Data IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose a novel approach which combines unpaired image translation with neural rendering to transfer simulated to photorealistic surgical abdominal scenes. |
DOMINIK RIVOIR et. al. | iccv | 2021-10-08 |
| 468 | Neural TTS Stylization with Adversarial and Collaborative Games IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: a generative adversarial network for style modeling in a text-to-speech system |
Shuang Ma; Daniel Mcduff; Yale Song; | iclr | 2019-05-08 |
| 469 | StyleBlit: Fast Example‐Based Stylization with Local Guidance IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: We present StyleBlit—an efficient example‐based style transfer algorithm that can deliver high‐quality stylized renderings in real‐time on a single‐core CPU. Our technique is … |
D. Sýkora; Ondrej Jamriska; Jingwan Lu; Eli Shechtman; | Computer Graphics Forum | 2018-07-09 |
| 470 | Exploring Thermal Images for Object Detection in Underexposure Regions for Autonomous Driving IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This work proposes a domain adaptation framework which employs a style transfer technique for transfer learning from visible spectrum images to thermal images. |
FARZEEN MUNIR et. al. | arxiv-cs.CV | 2020-06-01 |
| 471 | Face Sketch Synthesis With Style Transfer Using Pyramid Column Feature IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a novel framework based on deep neural networks for face sketch synthesis from a photo. |
Chaofeng Chen; Xiao Tan; Kwan-Yee K. Wong; | arxiv-cs.CV | 2020-09-18 |
| 472 | A Comparative Analysis of GAN-Based Methods for SAR-to-Optical Image Translation IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Unlike optical sensors, synthetic aperture radar (SAR) sensors acquire images of the Earth’s surface with all-weather and all-time capabilities, which is vital in a situation such … |
Yitao Zhao; T. Çelik; Nanqing Liu; Hengchao Li; | IEEE Geoscience and Remote Sensing Letters | 2022-01-01 |
| 473 | Conditional Invertible Neural Networks for Diverse Image-to-Image Translation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We introduce a new architecture called a conditional invertible neural network (cINN), and use it to address the task of diverse image-to-image translation for natural images. |
LYNTON ARDIZZONE et. al. | arxiv-cs.CV | 2021-05-05 |
| 474 | Neural Preset for Color Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we present a Neural Preset technique to address the limitations of existing color style transfer methods, including visual artifacts, vast memory requirement, and slow style switching speed. |
Zhanghan Ke; Yuhao Liu; Lei Zhu; Nanxuan Zhao; Rynson W.H. Lau; | cvpr | 2023-05-17 |
| 475 | Neural Stereoscopic Image Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a novel dual path network for view-consistent style transfer on stereoscopic images. |
XINYU GONG et. al. | eccv | 2018-09-10 |
| 476 | FontDiffuser: One-Shot Font Generation Via Denoising Diffusion with Multi-Scale Content Aggregation and Style Contrastive Learning IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Although existing font generation methods have achieved satisfactory performance, they still struggle with complex characters and large style variations. To address these issues, we propose FontDiffuser, a diffusion-based image-to-image one-shot font generation method, which innovatively models the font imitation task as a noise-to-denoise paradigm. |
ZHENHUA YANG et. al. | aaai | 2024-02-20 |
| 477 | ControlStyle: Text-Driven Stylized Image Generation Using Diffusion Priors IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a new task for “stylizing” text-to-image models, namely text-driven stylized image generation, that further enhances editability in content creation. |
Jingwen Chen; Yingwei Pan; Ting Yao; Tao Mei; | arxiv-cs.CV | 2023-11-09 |
| 478 | SC-UDA: Style and Content Gaps Aware Unsupervised Domain Adaptation for Object Detection IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Current state-of-the-art object detectors can have significant performance drop when deployed in the wild due to domain gaps with training data. Unsupervised Domain Adaptation … |
FUXUN YU et. al. | 2022 IEEE/CVF Winter Conference on Applications of Computer … | 2022-01-01 |
| 479 | Understanding Generalized Whitening and Coloring Transform for Universal Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this report, we generalize ZCA to the general form of WCT, provide an analytical performance analysis from the angle of neural style transfer, and show why ZCA is a good choice for style transfer among different WCTs and why some WCTs are not well applicable for style transfer. |
Tai-Yin Chiu; | iccv | 2019-10-24 |
| 480 | Neural Preset for Color Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we present a Neural Preset technique to address the limitations of existing color style transfer methods, including visual artifacts, vast memory requirement, and slow style switching speed. |
Zhanghan Ke; Yuhao Liu; Lei Zhu; Nanxuan Zhao; Rynson W. H. Lau; | arxiv-cs.CV | 2023-03-23 |
| 481 | Research Integrity, Image Manipulation, and Anonymizing Photographs in Visual Social Science Research IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Undocumented alterations to research images, defined in this piece as image manipulation, may represent a case of research misconduct. What constitutes image manipulation, … |
Sara R. Jordan; | International Journal of Social Research Methodology | 2014-01-01 |
| 482 | Bringing Impressionism To Life With Neural Style Transfer In Come Swim IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We document how the technique can be driven within the framework of an iterative creative process to achieve a desired look, and propose a mapping of the broad parameter space to a key set of creative controls. |
Bhautik Joshi; Kristen Stewart; David Shapiro; | arxiv-cs.CV | 2017-01-17 |
| 483 | Bi-Level Feature Alignment for Versatile Image Translation and Manipulation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper presents a versatile image translation and manipulation framework that achieves accurate semantic and style guidance in image generation by explicitly building a correspondence. |
FANGNENG ZHAN et. al. | eccv | 2022-10-19 |
| 484 | Improved Generative Adversarial Network and Its Application in Image Oil Painting Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View |
Yuan Liu; | Image Vis. Comput. | 2021-01-01 |
| 485 | Skeleton-Free Pose Transfer for Stylized 3D Characters IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present the first method that automatically transfers poses between stylized 3D characters without skeletal rigging. |
Zhouyingcheng Liao; Jimei Yang; Jun Saito; Gerard Pons-Moll; Yang Zhou; | eccv | 2022-10-19 |
| 486 | UnlearnCanvas: A Stylized Image Dataset to Benchmark Machine Unlearning for Diffusion Models IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The rapid advancement of diffusion models (DMs) has not only transformed various real-world industries but has also introduced negative societal concerns, including the generation … |
YIHUA ZHANG et. al. | ArXiv | 2024-01-01 |
| 487 | An End-to-End Network for Remote Sensing Imagery Semantic Segmentation Via Joint Pixel- and Representation-Level Domain Adaptation IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: It requires pixel-by-pixel annotations to obtain sufficient training data in supervised remote sensing image segmentation, which is a quite time-consuming process. In recent … |
Lukui Shi; Ziyuan Wang; Bin Pan; Zhenwei Shi; | IEEE Geoscience and Remote Sensing Letters | 2021-01-01 |
| 488 | Unpaired Image-to-Image Translation Via Latent Energy Transport IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose to deploy an energy-based model (EBM) in the latent space of a pretrained autoencoder for this task. |
Yang Zhao; Changyou Chen; | cvpr | 2021-06-11 |
| 489 | Real-time Localized Photorealistic Video Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a novel algorithm for transferring artistic styles of semantically meaningful local regions of an image onto local regions of a target video while preserving its photorealism. |
XIDE XIA et. al. | arxiv-cs.CV | 2020-10-20 |
| 490 | Photo Stylistic Brush: Robust Style Transfer Via Superpixel-Based Bipartite Graph IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we explore the problem of exemplar-based photo style transfer, which provides a flexible and convenient way to invoke fantastic visual impression. |
Jiaying Liu; Wenhan Yang; Xiaoyan Sun; Wenjun Zeng; | arxiv-cs.CV | 2016-06-13 |
| 491 | Transform A Simple Sketch to A Chinese Painting By A Multiscale Deep Neural Network IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Recently, inspired by the power of deep learning, convolution neural networks can produce fantastic images at the pixel level. However, a significant limiting factor for previous … |
Daoyu Lin; Yang Wang; Guangluan Xu; Jun Li; Kun Fu; | Algorithms | 2018-01-01 |
| 492 | RoboCoDraw: Robotic Avatar Drawing with GAN-Based Style Transfer and Time-Efficient Path Optimization IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper we present RoboCoDraw, a real-time collaborative robot-based drawing system that draws stylized human face sketches interactively in front of human users, by using the Generative Adversarial Network (GAN)-based style transfer and a Random-Key Genetic Algorithm (RKGA)-based path optimization. |
TIANYING WANG et. al. | aaai | 2020-02-07 |
| 493 | A Review of Human Evaluation for Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper reviews and summarizes human evaluation practices described in 97 style transfer papers with respect to three main evaluation aspects: style transfer, meaning preservation, and fluency. |
Eleftheria Briakou; Sweta Agrawal; Ke Zhang; Joel Tetreault; Marine Carpuat; | arxiv-cs.CL | 2021-06-08 |
| 494 | Memory-Modulated Transformer Network for Heterogeneous Face Recognition IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Heterogeneous face recognition (HFR) aims at matching face images across different domains. It is challenging due to the severe domain discrepancies and overfitting caused by … |
Mandi Luo; Haoxue Wu; Huaibo Huang; Weizan He; Ran He; | IEEE Transactions on Information Forensics and Security | 2022-01-01 |
| 495 | EFANet: Exchangeable Feature Alignment Network for Arbitrary Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Instead, we propose a novel transfer framework, EFANet, that aims to jointly analyze and better align exchangeable features extracted from the content and style image pair. |
Zhijie Wu; Chunjin Song; Yang Zhou; Minglun Gong; Hui Huang; | aaai | 2020-02-07 |
| 496 | StyleAdapter: A Single-Pass LoRA-Free Model for Stylized Image Generation IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This paper presents a LoRA-free method for stylized image generation that takes a text prompt and style reference images as inputs and produces an output image in a single pass. … |
ZHOUXIA WANG et. al. | ArXiv | 2023-01-01 |
| 497 | Style Transfer Generative Adversarial Networks: Learning To Play Chess Differently IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a general formulation of style transfer as an extension of generative adversarial networks, by using a discriminator to regularize a generator with an otherwise separate loss function. |
Muthuraman Chidambaram; Yanjun Qi; | arxiv-cs.LG | 2017-02-22 |
| 498 | Name Your Style: An Arbitrary Artist-aware Image Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a text-driven image style transfer (TxST) that leverages advanced image-text encoders to control arbitrary style transfer. |
Zhi-Song Liu; Li-Wen Wang; Wan-Chi Siu; Vicky Kalogeiton; | arxiv-cs.CV | 2022-02-28 |
| 499 | Meta Networks For Neural Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper we propose a new method to get the specified network parameters through one time feed-forward propagation of the meta networks and explore the application to neural style transfer. |
Falong Shen; Shuicheng Yan; Gang Zeng; | arxiv-cs.CV | 2017-09-12 |
| 500 | CAP-VSTNet: Content Affinity Preserved Versatile Style Transfer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper proposes a new framework named CAP-VSTNet, which consists of a new reversible residual network and an unbiased linear transform module, for versatile style transfer. |
Linfeng Wen; Chengying Gao; Changqing Zou; | cvpr | 2023-05-17 |