arxiv 2020. For more information see the Code of Conduct FAQ or contact [emailprotected] with any additional questions or comments. Mu Cai, Hong Zhang, Huijuan Huang, Qichuan Geng, Gao Huang. [PDF] [Github], ZUNIT: Toward Zero-Shot Unsupervised Image-to-Image Translation. [PDF], U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation. Co-Evolutionary Compression for Unpaired Image Translation. Blind Image Decomposition (BID) and Blind Image Decomposition network (BIDeN), Image Classification Project Killer in PyTorch, An Effective Loss Function for Generating 3D Models from Single 2D Image without Rendering. We adopt a hierarchical strategy that uses the correspondence from coarse level to guide the fine levels. World-Consistent Video-to-Video Synthesis. Finally create the root folder deepfashionHD, and move the folders img and pose below it. Hao Tang, Dan Xu, Nicu Sebe, Yan Yan. Guillaume Couairon, Asya Grechka, Jakob Verbeek, Holger Schwenk, Matthieu Cord. Old Photo Restoration via Deep Latent Space Translation full resolution correspondence learning for image translation. Aliaksandra Shysheya, Egor Zakharov, Kara-Ali Aliev, Renat Bashirov, Egor Burkov, Karim Iskakov, Aleksei Ivakhnenko, Yury Malkov, Igor Pasechnik, Dmitry Ulyanov, Alexander Vakhitov, Victor Lempitsky. Context enhancement is critical for night vision (NV) applications, Fabio Pizzati, Pietro Cerri, Raoul de Charette. Contributing If you think I have missed out on something (or) have any suggestions (papers, implementations and other resources), feel free to pull a request. [PDF] [GitHub] file in archive is not in a subdirectory archive/: latest_net_D.pth, net['netCorr'] = util.load_network(net['netCorr'], 'Corr', opt.which_epoch, opt). Lin Wang, Yujeong Chae, Kuk-Jin Yoon. Tristan Bepler, Ellen Zhong, Kotaro Kelley, Edward Brignole, Bonnie Berger.*. [PDF] [Unofficial] [PDF] IJCV 2020. Interactive Sketch & Fill: Multiclass Sketch-to-Image Translation. arxiv 2020. Po-Wei Wu, Yu-Jing Lin, Che-Han Chang, Edward Y. Chang, Shih-Wei Liao. [PDF] [Demo] [Github] Luigi Musto, Andrea Zinelli. When jointly trained with image translation, full-resolution semantic correspondence can be established in an unsupervised manner, which in turn facilitates the exemplar-based image translation. We adopt a hierarchical strategy that uses the correspondence from coarse level to guide the finer levels. Dina Bashkirova, Ben Usman, Kate Saenko. [PDF] Art2Real: Unfolding the Reality of_Artworks via Semantically-Aware Image-To-Image Translation. Lynton Ardizzone, Jakob Kruse, Carsten Lth, Niels Bracher, Carsten Rother, Ullrich Kthe. [PDF] [Github], DRIT++: Diverse Image-to-Image Translation via Disentangled Representations. Baran Ozaydin, Tong Zhang, Sabine Susstrunk, Mathieu Salzmann. Informative Sample Mining Network for Multi-Domain Image-to-Image Translation. University of Science and Technology of China Abstract and Figures We present the full-resolution correspondence learning for cross-domain images, which aids image translation. ICML 2019. [PDF] Fangneng Zhan, Yingchen Yu, Rongliang Wu, Kaiwen Cui, Aoran Xiao, Shijian Lu, Ling Shao. Model-based Occlusion Disentanglement for Image-to-image Translation. Dingdong Yang, Seunghoon Hong, Yunseok Jang, Tianchen Zhao, Honglak Lee. [PDF] [Github], MIDMs: Matching Interleaved Diffusion Models for Exemplar-based Image Translation. arxiv 2020. [PDF] DiffusionCLIP: Text-Guided Diffusion Models for Robust Image Manipulation. Unsupervised Image-to-Image Translation with Generative Prior. Utkarsh Ojha, Yijun Li, Jingwan Lu, Alexei A. Efros, Yong Jae Lee, Eli Shechtman, Richard Zhang. Gihyun Kwon, Jong Chul Ye. Jiaming Song, Run the following command for training from scratch. xxx_ref.txt and xxx_ref_test.txt in other dataset. [PDF] [Github], Image-to-Image Translation with Low Resolution Conditioning. We propose to jointly learn the cross domain correspondence and the image translation, where both tasks facilitate each other and thus can be learned with weak supervision. Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation. arxiv 2019. [PDF] full resolution correspondence learning for image translation. [PDF] Experiments on diverse translation tasks show that CoCosNet v2 performs considerably better than state-of-the-art literature on producing high . [PDF], OT-CycleGAN: Guiding the One-to-one Mapping in CycleGAN via Optimal Transport. AAAI 2021. Yingxue Pang, Jianxin Lin, Tao Qin, Zhibo Chen. Exploring Patch-Wise Semantic Relation for Contrastive Learning in Image-to-Image Translation Tasks. [PDF] [GitHub] LPTN: High-Resolution Photorealistic Image Translation in Real-Time: A Laplacian Pyramid Translation Network. Fleet, Mohammad Norouzi. arxiv 2021. [PDF] solidarity - - . Deformation-aware Unpaired Image Translation for Pose Estimation on Laboratory Animals. Flow-based Image-to-Image Translation with Feature Disentanglement. Modulated Contrast for Versatile Image Synthesis. IJCAI 2019. File "/home/kas/CoCosNet-v2/data/init.py", line 33, in create_dataloader [PDF] Homomorphic Interpolation Network for Unpaired Image-to-image Translation. We adopt a hierarchical strategy that uses the correspondence from coarse level to guide the fine levels. Jiaze Sun, Binod Bhattarai, Tae-Kyun Kim. Deep CG2Real: Synthetic-to-Real Translation via Image Disentanglement. DivCo: Diverse Conditional Image Synthesis via Contrastive Generative Adversarial Network. Ibrahim Batuhan Akkaya, Ugur Halici. arxiv 2022. [PDF] TPAMI 2021. [PDF], IEGAN: Independent Encoder for Deep Hierarchical Unsupervised Image-to-Image Translation. We use 8 32GB Tesla V100 GPUs to train the network. Move the models below the folder checkpoints/deepfashionHD. DSI2I: Dense Style for Unpaired Image-to-Image Translation. Taeksoo Kim, Moonsu Cha, Hyunsoo Kim, Jung Kwon Lee, Jiwon Kim. CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation Run the following command for training from scratch. Sanjana Sinha, Sandika Biswas, Brojeshwar Bhowmick. Bridging the Gap Between Label- and Reference-Based Synthesis in Multi-Attribute Image-to-Image Translation. [PDF], Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation. [PDF], RL-GAN: Transfer Learning for Related Reinforcement Learning Tasks via Image-to-Image Translation. [PDF] [Project] [PDF] [Project], StyleFlow For Content-Fixed Image to Image Translation. Virtual reality (VR) is a simulated experience that employs pose tracking and 3D near-eye displays to give the user an immersive feel of a virtual world. arxiv 2020. We present the full-resolution correspondence learning for cross-domain images, which aids image translation. [PDF], Deliberation Learning for Image-to-Image Translation. Scroll through all of the Frequently Asked Questions to see if any of them pertain to your complaint and click the. [PDF], Unsupervised Multi-Modal Medical Image Registration via Discriminator-Free Image-to-Image Translation. ICCV Workshop 2021. Nazar Khan, Arbish Akram, Arif Mahmood, Sania Ashraf, Kashif Murtaza. This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository. Kaihong Wang, Kumar Akash, Teruhisa Misu. The inference results are saved in the folder checkpoints/deepfashionHD/test. Wish You Were Here: Context-Aware Human Generation. At each hierarchy, the correspondence can be efficiently computed via PatchMatch that iteratively leverages the . IJCAI 2019. uses the correspondence from coarse level to guide the finer levels. [Github] [PDF], UNIT: Unsupervised Image-to-Image Translation Networks. awesome image-to-image translation A collection of resources on image-to-image translation. TOG 2021. CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation Xingran Zhou 1 * Bo Zhang 2 Ting Zhang 2 Pan Zhang 4 Jianmin Bao 2 Dong Chen 2 Zhongfei Zhang 3 Fang Wen 2 1 Zhejiang University 2 Microsoft Research Asia 3 Binghamton University 4 USTC Abstract We present the full-resolution correspondence learning for cross-domain images, which aids image translation. Zheng Ding, Yifan Xu, Weijian Xu, Gaurav Parmar, Yang Yang, Max Welling, Zhuowen Tu. [PDF] [Github] Dongwook Lee, Junyoung Kim, Won-Jin Moon, Jong Chul Ye. Note train.txt and val.txt are our train-val lists. [PDF], Gated SwitchGAN for multi-domain facial image translation. NICE: Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation. Within each PatchMatch iteration, the ConvGRU module is employed to refine the current correspondence considering not only the matchings of larger context but also the historic estimates. [PDF], Image-to-Image Translation with Multi-Path Consistency Regularization. [PDF][Github] Runfa Chen, Wenbing Huang, Binghui Huang, Fuchun Sun, Bin Fang. We adopt a hierarchical strategy that Joonyoung Song, Jong Chul Ye. Mu Cai, Hong Zhang, Huijuan Huang, Qichuan Geng, Yixuan Li, Gao Huang. Transformation Consistency Regularization: A Semi-Supervised Paradigm for Image-to-Image Translation. [PDF] [ paper ] [ code ] [ bibtex] Pan Zhang, Bo Zhang, Ting Zhang, Dong Chen, Yong Wang, Fang Wen. RABIT: Bi-level Feature Alignment for Versatile Image Translation and Manipulation. Finally create the root folder deepfashionHD, and move the folders img and pose below it. [PDF] [Github], LSC-GAN: Latent Style Code Modeling for Continuous Image-to-image Translation. Zekun Hao, Arun Mallya, Serge Belongie, Ming-Yu Liu. Fabio Pizzati, Jean-Franois Lalonde, Raoul de Charette. Yuan Xue, Zihan Zhou, Xiaolei Huang. Figure 10: Pose-to-body image translation results at resolution 512 512. [PDF] [Project], Analogical Image Translation for Fog Generation. Chao Yang, Taehwan Kim, Ruizhe Wang, Hao Peng, C.-C. Jay Kuo. Nick Lawrence, Mingren Shen, Ruiqi Yin, Cloris Feng, Dane Morgan. ICML 2017. [PDF] [PDF] [PDF] [Project], MCMI: Multi-Cycle Image Translation with Mutual Information Constraints. All persons copying this information are expected to adhere to the terms and constraints invoked We present the full-resolution correspondence learning for cross-domain images, which aids image translation. [PDF] [Github], BalaGAN: Image Translation Between Imbalanced Domains via Cross-Modal Transfer. Badour AlBahar, Jia-Bin Huang. [PDF] [Github], Unsupervised Generative Adversarial Networks With Cross-Model Weight Transfer Mechanism for Image-to-Image Translation. The full-resolution correspondence is learned hierarchically, where the low-resolution result serves as the initialization for the next level. arxiv 2021. [PDF] [arxiv] [project] When jointly trained with image translation, full-resolution semantic correspondence can be established in an unsupervised manner, which in turn facilitates the exemplar-based image translation. TimeCycle Code for Learning Correspondence from the Cycle-consistency of Time (CVPR 2019, Oral). Shaoan Xie, Qirong Ho, Kun Zhang. year = {2021}, Gihyun Kwon, Jong Chul Ye. pages = {11465-11475} The test results are as follows. [PDF][Github] Taesung Park, Alexei A. Efros, Richard Zhang, Jun-Yan Zhu. Now the the directory structure is like: The inference results are saved in the folder checkpoints/deepfashionHD/test. International Conference on Multimedia Modeling (MMM2020). A collection of resources on image-to-image translation. Image-To-Image Translation via Group-Wise Deep Whitening-And-Coloring Transformation. Latent Filter Scaling for Multimodal Unsupervised Image-To-Image Translation. Lingke Kong, Chenyu Lian, Detian Huang, Zhenjiang Li, Yanle Hu, Qichao Zhou. [PDF] [Github], Separating Content and Style for Unsupervised Image-to-Image Translation. RL-CycleGAN: Reinforcement Learning Aware Simulation-To-Real. markdown format: Yiming Gao, Jiangqin Wu. STEFANN: Scene Text Editor using Font Adaptive Neural Network. [PDF], Frequency Domain Image Translation: More Photo-realistic, Better Identity-preserving. CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation, This is a recurring payment that will happen monthly, If you exceed more than 500 images, they will be charged at a rate of $5 per 500 images. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. [PDF] Download and unzip the results file. Select the boxes below to learn more details about tolls. Bing Li, Yuanlue Zhu, Yitong Wang, Chia-Wen Lin, Bernard Ghanem, Linlin Shen. TuiGAN: Learning Versatile Image-to-Image Translation with Two Unpaired Images. [PDF] Reddit and its partners use cookies and similar technologies to provide you with a better experience. Ivan Anokhin, Pavel Solovev, Denis Korzhenkov, Alexey Kharlamov, Taras Khakhulin, Gleb Sterkin, Alexey Silvestrov, Sergey Nikolenko, Victor Lempitsky. Zeqi Li, Ruowei Jiang,, Parham Aarabi. Cross-Granularity Learning for Multi-Domain Image-to-Image Translation. arxiv 2022. Hao Tang, Song Bai, Nicu Sebe. Learning Temporally and Semantically Consistent Unpaired Video-to-Video Translation through PseudoSupervision from Synthetic Optical Flow. [PDF] [Github] file in archive is not in a subdirectory archive/: latest_net_D.pth, Traceback (most recent call last): After the questions are adequately addressed, the CRN number is issued by each jurisdiction and the initial province of review returns the full CRN number to the submitter. The code is developed based on the PyTorch framework, RGB2NIR_Experimental This repository contains several image-to-image translation models, whcih were tested for RGB to NIR image generation. [PDF] [Github] [Project] TOG 2019. [PDF], Fix the Noise: Disentangling Source Feature for Transfer Learning of StyleGAN. Jaewoong Choi, Daeha Kim, Byung Cheol Song. [PDF] Unsupervised Multi-Modal Image Registration via Geometry Preserving Image-to-Image Translation. Arnab Ghosh, Richard Zhang, Puneet K. Dokania, Oliver Wang, Alexei A. Efros, Philip H. S. Torr, Eli Shechtman. Or fastest delivery Wed, Nov 2. StarGAN v2: Diverse Image Synthesis for Multiple Domains. [PDF] [Github] Harnessing the Conditioning Sensorium for Improved Image Translation For example xxx_ref.txt and xxx_ref_test.txt, as provided by CoCosNet v1. Qi Mao, Hsin-Ying Lee, Hung-Yu Tseng, Jia-Bin Huang, Siwei Ma, Ming-Hsuan Yang. CouncilGAN: Breaking The Cycle: Colleagues Are All You Need. Jianxin Lin, Yijun Wang, Zhibo Chen, Tianyu He. Min Zhao, Fan Bao, Chongxuan Li, Jun Zhu. Yunjey Choi, Minje Choi, Munyoung Kim, Jung-Woo Ha, Sunghun Kim, Jaegul Choo. We present the full-resolution correspondence learning for cross-domain images, which aids image translation. Samet Hicsonmez, Nermin Samet, Emre Akbas, Pinar Duygulu. CVPR 2021 Workshop on NTIRE. BMVC 2021 (Oral). iteratively leverages the matchings from the neighborhood. [PDF], Recapture as You Want. Experiments on diverse translation tasks show that CoCosNet v2 performs considerably better than state-of-the-art literature on producing high-resolution images. File "/home/kas/CoCosNet-v2/data/pix2pix_dataset.py", line 33, in initialize CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation Authors: Xingran Zhou Bo Zhang Microsoft Ting Zhang Pan Zhang University of Science and Technology of China Content. Wonwoong Cho, Sungha Choi, David Keetae Park, Inkyu Shin, Jaegul Choo. Wei Xiong, Yutong He, Yixuan Zhang, Wenhan Luo, Lin Ma, Jiebo Luo. Rinon Gal, Or Patashnik, Haggai Maron, Gal Chechik, Daniel Cohen-Or. Blind Image Decomposition is a novel task. [PDF], DiscoGAN: Learning to Discover Cross-Domain Relations with Generative Adversarial Networks. [PDF], Unpaired Image Translation via Adaptive Convolution-based Normalization. [PDF], Translate the Facial Regions You Like Using Region-Wise Normalization. arxiv 2021. arxiv 2021. Gwanghyun Kim, Taesung Kwon, Jong Chul Ye. [PDF] [Github] Reference-Based Sketch Image Colorization using Augmented-Self Reference and Dense Semantic Correspondence. [PDF] [Project] [Github], Masked Linear Regression for Learning Local Receptive Fields for Facial Expression Synthesis. Homomorphic Latent Space Interpolation for Unpaired Image-To-Image Translation. Wonwoong Cho, Kangyeol Kim, Eungyeup Kim, Hyunwoo J. Kim, Jaegul Choo. [PDF] [Project] [Github] Xiang Xu, Megha Nawhal, Greg Mori, Manolis Savva. [PDF] [Project] [Github] [PDF], IcGAN: Invertible Conditional GANs for Image Editing. DINO: A Conditional Energy-Based GAN for Domain Translation. full resolution correspondence learning for image translation. CollaGAN : Collaborative GAN for Missing Image Data Imputation. TIP 2019. Semantic Relation Preserving Knowledge Distillation for Image-to-Image Translation. Hao Tang, Dan Xu, Yan Yan, Jason J. Corso, Philip H.S. I2SB: Image-to-Image Schrdinger Bridge. Pan Zhang, Jianmin Bao, Ting Zhang, Dong Chen, Fang Wen. In each XingGAN for Person Image Generation. Within each PatchMatch iteration, the ConvGRU module is employed to refine the current correspondence considering not only the matchings of larger context but also the historic estimates. [PDF] [Project] [PDF] [Github], Region-aware Knowledge Distillation for Efficient Image-to-Image Translation. full resolution correspondence learning for image translation Author: Published on: fargo school boundary changes June 8, 2022 Published in: jeffrey donovan dancing with the stars contact dblp; Xingran Zhou et al. ReMix: Towards Image-to-Image Translation with Limited Data. booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, FUNIT: Few-Shot Unsupervised Image-to-Image Translation. Guided Image-to-Image Translation With Bi-Directional Feature Transformation. [PDF] Che-Tsung Lin, Yen-Yi Wu, Po-Hao Hsu, Shang-Hong Lai. Hanting Chen, Yunhe Wang, Han Shu, Changyuan Wen, Chunjing Xu, Boxin Shi, Chao Xu, Chang Xu. Chin-Yuan Yeh, Hsi-Wen Chen, Hong-Han Shuai, De-Nian Yang, Ming-Syan Chen. [PDF] [Project] Frequency Domain Image Translation: More Photo-Realistic, Better Identity-Preserving. [PDF] arxiv 2020. Semantically Robust Unpaired Image Translation for Data With Unmatched Semantics Statistics. Kunhee Kim, Sanghun Park, Eunyeong Jeon, Taehun Kim, Daijin Kim. arxiv 2019. In this paper, we propose a multi-feature contrastive learning method. Huiyuan Fu, Ting Yu, Xin Wang, Huadong Ma. Describe What to Change: A Text-guided Unsupervised Image-to-Image Translation Approach. MICCI Workshop 2021. Yaxing Wang, Salman Khan, Abel Gonzalez-Garcia, Joost van de Weijer, Fahad Shahbaz Khan. Or Patashnik, Dov Danon, Hao Zhang, Daniel Cohen-Or. [PDF], Contrastive Learning for Unsupervised Image-to-Image Translation. Yueqin Yin, Lianghua Huang, Yu Liu, Kaiqi Huang. [PDF] NeurIPS 2017. [PDF], DiffGAR: Model-Agnostic Restoration from Generative Artifacts Using Image-to-Image Diffusion Models. Sym-Parameterized Dynamic Inference for Mixed-Domain Image Translation. BMVC 2020. In particular, configuration files for the Metfaces dataset would be appreciated, otherwise comparisons cannot be made. TPAMI 2022. Experiments on diverse translation tasks show our approach performs considerably better than state-of-the-arts on producing high-resolution images. The proposed GRU-assisted PatchMatch is fully differentiable and highly efficient, and performs considerably better than state-of-the-arts on producing high-resolution images. BMVC 2021 (Oral). [PDF] [Project] [Github], Towards Automatic Face-to-Face Translation. Face-to-Parameter Translation for Game Character Auto-Creation. ICPR 2020. Yahui Liu, Yajing Chen, Linchao Bao, Nicu Sebe, Bruno Lepri, Marco De Nadai. [PDF] (we used Pytorch 1.7.0 in our experiments). I'm planning a future in-depth post with an image processing/deep learning expert, where we'll be getting into the weeds Lijie Fan, Wenbing Huang, Chuang Gan, Junzhou Huang, Boqing Gong. [PDF] [Project] [Github] [PDF] [Project] [Github], Distilling GANs with Style-Mixed Triplets for X2I Translation with Limited Data. Reversible GANs for Memory-efficient Image-to-Image Translation. Sunhee Hwang, Sungho Park, Dohyung Kim, Mirae Do, Hyeran Byun. [PDF] At each hierarchy, the correspondence can be efficiently computed via PatchMatch that iteratively leverages the matchings from the neighborhood. For more information, please see our InstaFormer: Instance-Aware Image-to-Image Translation with Transformer. We offer the keypoints detection results used in our experiment in this link. Sangwoo Mo, Minsu Cho, Jinwoo Shin. First please install dependencies for the experiment: We recommend to install Pytorch version after Pytorch 1.6.0 since we made use of automatic mixed precision for accelerating. IrwGAN: Unaligned Image-to-Image Translation by Learning to Reweight. Thank you and wish you success in your scientific research! Mor Avi-Aharon, Assaf Arbelle, Tammy Riklin Raviv. Note you need to download our train-val split lists train.txt and val.txt from this link in this step. arxiv 2020. [PDF] [Github] [pdf] [Supplement] DAGAN: Dual Attention GANs for Semantic Image Synthesis. Caroline Chan, Shiry Ginosar, Tinghui Zhou, Alexei A. Efros. NeurIPS 2017. [PDF] [Github] PatchMatch iteration, the ConvGRU module is employed to refine the current [PDF], I2V-GAN: Unpaired Infrared-to-Visible Video Translation. [PDF]. arxiv 2021. [PDF], Stylizing Video by Example. WACV 2020. Zhen Zhu, Zhiliang Xu, Ansheng You, Xiang Bai. Rui Liu, Yixiao Ge, Ching Lam Choi, Xiaogang Wang, Hongsheng Li. Yahui Liu, Marco De Nadai, Deng Cai, Huayang Li, Xavier Alameda-Pineda, Nicu Sebe, Bruno Lepri. Multimodal Structure-Consistent Image-to-Image Translation. Prajwal Renukanand, Rudrabha Mukhopadhyay, Jerin Philip, Abhishek Jha, Vinay Namboodiri and C.V. Jawahar. Authors Channel Summit. Dina Bashkirova, Ben Usman, Kate Saenko. arxiv 2020. Experiments on diverse translation tasks show that CoCosNet v2 performs considerably better than state-of-the-art literature on producing high-resolution images. SIGGRAPH 2022. [PDF] [Github], Exploiting Time-Series Image-to-Image Translation to Expand the Range of Wildlife Habitat Analysis. Hello friends, I use your model to train metfaces dataset and create paired label edge label After 100 rounds of training, classify the pictures according to the cosine similarity of VGG extracted features. Experiments on diverse translation tasks show our approach performs considerably better than state-of-the-arts on producing high-resolution . We adopt a hierarchical strategy that uses the correspondence from coarse level to guide the finer levels. [PDF], Quality Metric Guided Portrait Line Drawing Generation from Unpaired Training Data. Vector Quantized Image-to-Image Translation. WACV 2020. [PDF] Junsoo Lee, Eungyeup Kim, Yunsung Lee, Dongjun Kim, Jaehyuk Chang, Jaegul Choo. Hanbit Lee, Jinseok Seol, Sang-goo Lee. We present the full-resolution correspondence learning for cross-domain images, which aids image translation. [PDF] [Project] [Github] Translation, CFFT-GAN: Cross-domain Feature Fusion Transformer for Exemplar-based Hao Tang, Dan Xu, Hong Liu, Nicu Sebe. [PDF] [Project] [Github] At each hierarchy, the correspondence can be efficiently computed via PatchMatch that iteratively leverages the . Yuki Endo, Yoshihiro Kanamori. [PDF], Domain Bridge for Unpaired Image-to-Image Translation and Unsupervised Domain Adaptation. Saliency-Guided Image Translation. Adversarial Self-Defense for Cycle-Consistent GANs. arxiv 2020. We plan to release the training code. [PDF] [Github], Asymmetric GAN for Unpaired Image-to-Image Translation. When jointly trained with image translation, full-resolution semantic correspondence can be established in an unsupervised manner, which in turn facilitates the exemplar-based image translation. [PDF] [PDF] [Project], The Swiss Army Knife for Image-to-Image Translation: Multi-Task Diffusion Models. Jialu Huang, Jing Liao, Sam Kwong. Trust Monday to help you streamline your schoolwork and enhance the quality of . SEAN: Image Synthesis with Semantic Region-Adaptive Normalization. Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation to Disease Detection and Localization. IJCV 2019. Ziqiang Zheng, Yang Wu, Xinran Han, Jianbo Shi. How can I correct errors in dblp? TIP 2021. Neural Networks 2020. At each hierarchy, the correspondence can be efficiently computed via PatchMatch that iteratively leverages the matchings from the neighborhood.