full resolution correspondence learning for image translation [PDF], DCMIT: Unsupervised Multi-Domain Multimodal Image-to-Image Translation with Explicit Domain-Constrained Disentanglement. [PDF], Full-Resolution Correspondence Learning for Image Translation. Run the following command for training from scratch. [PDF] [Project] [Github] Lifan Zhao, Yunlong Meng, Lin Xu. [PDF], DosGAN: Exploring Explicit Domain Supervision for Latent Space Disentanglement in Unpaired Image-to-Image Translation. Attack As the Best Defense: Nullifying Image-to-Image Translation GANs via Limit-Aware Adversarial Attack. [PDF] [Github] [Project], Semantically Adaptive Image-to-image Translation for Domain Adaptation of Semantic Segmentation. Ben Usman, Nick Dufour, Kate Saenko, Chris Bregler. CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation For more information, please see our We adopt a hierarchical strategy that uses the correspondence from coarse level to guide the fine levels. Konstantinos Vougioukas, Stavros Petridis, Maja Pantic. NeurIPS 2021. Baran Ozaydin, Tong Zhang, Sabine Susstrunk, Mathieu Salzmann. Samet Hicsonmez, Nermin Samet, Emre Akbas, Pinar Duygulu. [PDF] The repo is built based on full reference image q. PyTorch implementation of SFNet This is the implementation of the paper "SFNet: Learning Object-aware Semantic Correspondence". Yulun Zhang, Chen Fang, Yilin Wang, Zhaowen Wang, Zhe Lin, Yun Fu, Jimei Yang. If you use this code for your research, please cite our papers. Homomorphic Latent Space Interpolation for Unpaired Image-To-Image Translation. Fleet, Mohammad Norouzi. Wanfeng Zheng, Qiang Li, Guoxin Zhang, Pengfei Wan, Zhongyuan Wang. 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. Our method is a one-sided mapping method for unpaired image-to-image translation, considering enhancing the performance of the generator and discriminator. Learning to Predict Layout-to-image Conditional Convolutions for Semantic Image Synthesis. [PDF][Github][Project] [PDF] [Github] UNIT-DDPM: UNpaired Image Translation with Denoising Diffusion Probabilistic Models. A collection of resources on image-to-image translation. [PDF], SAVI2I: Continuous and Diverse Image-to-Image Translation via Signed Attribute Vectors. Fangneng Zhan, Yingchen Yu, Rongliang Wu, Jiahui Zhang, Shijian Lu, Changgong Zhang. Bringing Old Photos Back to Life. [PDF], Translating Images into Maps. IrwGAN: Unaligned Image-to-Image Translation by Learning to Reweight. [PDF], Translate the Facial Regions You Like Using Region-Wise Normalization. CVPR 2021 Workshop. Can you provide configuration files for the other datasets mentioned in the paper? Then run the following command. Full-Resolution Correspondence Learning for Image Translation Download them all and move below the folder data/. TIP 2019. Anthony Dell'Eva, Fabio Pizzati, Massimo Bertozzi, Raoul de Charette. [PDF] Weichen Fan, Jinghuan Chen, Jiabin Ma, Jun Hou, Shuai Yi. full resolution correspondence learning for image translation Also, welcome to refer to our CoCosNet v1: John was the first writer to have joined pythonawesome.com. We present the full-resolution correspondence learning for cross-domain images, which aids image translation. SEAN: Image Synthesis with Semantic Region-Adaptive Normalization. Jianxin Lin, Yijun Wang, Zhibo Chen, Tianyu He. Taewon Kang, Soohyun Kim, Sunwoo Kim, Seungryong Kim. Your SunPass needs a minimum of. Assaf Shocher, Shai Bagon, Phillip Isola, Michal Irani. [PDF] [Github], iFlowGAN: An Invertible Flow-based Generative Adversarial Network For Unsupervised Image-to-Image Translation. Experiments on diverse translation tasks show that CoCosNet v2 performs considerably better than state-of-the-art literature on producing high-resolution images. PISE: Person Image Synthesis and Editing with Decoupled GAN. Virtual reality - Wikipedia arxiv 2021. Zhiwei Jia, Bodi Yuan, Kangkang Wang, Hong Wu, David Clifford, Zhiqiang Yuan, Hao Su. CUT: Contrastive Learning for Unpaired Image-to-Image Translation. All persons copying this information are expected to adhere to the terms and constraints invoked WACV 2021. ICPR 2020. weihaox/awesome-image-translation - GitHub Jie Cao, Huaibo Huang, Yi Li, Ran He, Zhenan Sun. Muyang Li, Ji Lin, Yaoyao Ding, Zhijian Liu, Jun-Yan Zhu, and Song Han. Alessandro Simoni, Luca Bergamini, Andrea Palazzi, Simone Calderara, Rita Cucchiara. Yaniv Taigman, Adam Polyak, Lior Wolf. Shuang Li, Bingfeng Han, Zhenjie Yu, Chi Harold Liu, Kai Chen, Shuigen Wang. [PDF] [Github], Federated CycleGAN for Privacy-Preserving Image-to-Image Translation. [PDF], Few-shot Semantic Image Synthesis Using StyleGAN Prior. dataloader = data.create_dataloader(opt) yaxing wang, Lu Yu, Joost van de Weijer. We adopt a hierarchical strategy that uses the correspondence from the coarse level to guide the finer levels. arxiv 2020. Homomorphic Interpolation Network for Unpaired Image-to-image Translation. ADSPM: Attribute-Driven Spontaneous Motion in Unpaired Image Translation. CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation If the password is necessary, please contact this link to access the dataset. IJCAI 2022. arxiv 2021. Informative Sample Mining Network for Multi-Domain Image-to-Image Translation. ICLR 2017. Qiusheng Huang, Xueqi Hu, Li Sun, Qingli Li. Deep CG2Real: Synthetic-to-Real Translation via Image Disentanglement. The proposed CoCosNet v2, a GRU-assisted PatchMatch approach, is fully differentiable and highly efficient. Dina Bashkirova, Ben Usman, Kate Saenko. Pauliina Paavilainen, Saad Ullah Akram, Juho Kannala. arxiv 2019. Reference-Based Sketch Image Colorization using Augmented-Self Reference and Dense Semantic Correspondence. Domain Adaptive Image-to-image Translation. Jinsong Zhang, Kun Li, Yu-Kun Lai, Jingyu Yang. Unsupervised Video-to-Video Translation. Copyright and all rights therein are retained by authors or by other copyright holders. Chitwan Saharia, William Chan, Huiwen Chang, Chris A. Lee, Jonathan Ho, Tim Salimans, David J. Lai Jiang, Mai Xu, Xiaofei Wang, Leonid Sigal. [PDF], Beyond a Video Frame Interpolator: A Space Decoupled Learning Approach to Continuous Image Transition. Experiments on diverse translation tasks show that CoCosNet v2 performs considerably better than state-of-the-art literature on producing high . Kuniaki Saito, Kate Saenko, Ming-Yu Liu. CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation Runtao Liu, Qian Yu, Stella Yu. [PDF], Unpaired Image-to-Image Translation via Latent Energy Transport. Yifang Men, Yiming Mao, Yuning Jiang, Wei-Ying Ma, Zhouhui Lian. Hanbit Lee, Jinseok Seol, Sang-goo Lee. [PDF] [Github], StyleGAN-NADA: CLIP-Guided Domain Adaptation of Image Generators. Liming Jiang, Changxu Zhang, Mingyang Huang, Chunxiao Liu, Jianping Shi, Chen Change Loy. awesome image-to-image translation A collection of resources on image-to-image translation. ICPR 2020. Unsupervised Image-to-Image Translation with Density Changing Regularization. Thiemo Alldieck, Gerard Pons-Moll, Christian Theobalt, Marcus Magnor. [PDF][Github][Project] NeurIPS 2020. He has since then inculcated very effective writing and reviewing culture at pythonawesome which rivals have found impossible to imitate. ./dataset/deepfashionHD/pose\MEN\Denim\id_00000089\02_7_additional_candidate.txt not found. TimeCycle Code for Learning Correspondence from the Cycle-consistency of Time (CVPR 2019, Oral). arxiv 2022. Attentive Normalization for Conditional Image Generation. IJCNN 2020. [PDF] Best Project Management Software for Education dataset/DeepFashionHD. [PDF], Stylized Neural Painting. A collection of awesome resources image-to-image translation. Bowen Li, Xiaojuan Qi, Philip H. S. Torr, Thomas Lukasiewicz. uses the correspondence from coarse level to guide the finer levels. [PDF], Mocycle-GAN: Unpaired Video-to-Video Translation. A Style-aware Discriminator for Controllable Image Translation. Developing shipment plans as per product availability and request from customers. Gwanghyun Kim, Taesung Kwon, Jong Chul Ye. [PDF], Domain Bridge for Unpaired Image-to-Image Translation and Unsupervised Domain Adaptation. Mingcong Liu, Qiang Li, Zekui Qin, Guoxin Zhang, Pengfei Wan, Wen Zheng. van der Ouderaa, Daniel E. Worrall. Pan Zhang, Bo Zhang, Dong Chen, Lu Yuan, Fang Wen. [PDF], A Novel Application of Image-to-Image Translation: Chromosome Straightening Framework by Learning from a Single Image. First, we propose a versatile image translation and manipulation framework which introduces a ranking and attention Scheme for bi-level feature alignment that greatly reduces the memory cost while building the correspondence between conditional inputs and exemplars. ICPR 2020. Linfeng Zhang, Xin Chen, Runpei Dong, Kaisheng Ma. Balaram Singh Kshatriya, Shiv Ram Dubey, Himangshu Sarma, Kunal Chaudhary, Meva Ram Gurjar, Rahul Rai, Sunny Manchanda. [PDF] Describe What to Change: A Text-guided Unsupervised Image-to-Image Translation Approach. arxiv 2021. MICCI Workshop 2021. Ziqiang Zheng, Yang Wu, Xinran Han, Jianbo Shi. Dongyeun Lee, Jae Young Lee, Doyeon Kim, Jaehyun Choi, Junmo Kim. 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. Weilun Wang, Wengang Zhou, Jianmin Bao, Dong Chen, Houqiang Li. Joonyoung Song, Jong Chul Ye. Fei Gao, Xingxin Xu, Jun Yu, Meimei Shang, Xiang Li, and Dacheng Tao. [PDF], Complementary, Heterogeneous and Adversarial Networks for Image-to-Image Translation. We present the full-resolution correspondence learning for cross-domain images, which aids image translation. Experiments on diverse translation tasks show that CoCosNet v2 performs considerably better than state-of-the-art literature on producing high-resolution images. [PDF] [Github], MIDMs: Matching Interleaved Diffusion Models for Exemplar-based Image Translation. [PDF] [Github], BalaGAN: Image Translation Between Imbalanced Domains via Cross-Modal Transfer. Xinyang Li, Shengchuan Zhang, Jie Hu, Liujuan Cao, Xiaopeng Hong, Xudong Mao, Feiyue Huang, Yongjian Wu, Rongrong Ji. Python Awesome is a participant in the Amazon Services LLC Associates Program, an affiliate advertising program designed to provide a means for sites to earn advertising fees by advertising and linking to Amazon.com. Download them all and move below the folder data/. arxiv 2019. Wen Liu, Zhixin Piao, Jie Min, Wenhan Luo, Lin Ma, Shenghua Gao. Qing Jin, Jian Ren, Oliver J. Woodford, Jiazhuo Wang, Geng Yuan, Yanzhi Wang, Sergey Tulyakov. [PDF], DeepHist: Differentiable Joint and Color Histogram Layers for Image-to-Image Translation. Monday is dedicated to providing the best educational project management solution. Gihyun Kwon, Jong Chul Ye. arxiv 2023. Ori Nizan, Ayellet Tal. Yang Zhao, Changyou Chen. [PDF] [Official Tensorflow] [Pytorch] [photo2cartoon] [Morph UGATIT]. arxiv 2021. [PDF] [Github], Neural Photometry-guided Visual Attribute Transfer. We use 8 32GB Tesla V100 GPUs to train the network. Deblina Bhattacharjee, Seungryong Kim, Guillaume Vizier, and Mathieu Salzmann. Abstract: We present the full-resolution correspondence learning for cross-domain images, which aids image translation. Niccol Machiavelli - Wikipedia Download and unzip the results file. Thank you and wish you success in your scientific research! Tengfei Wang, Ting Zhang, Bo Zhang, Hao Ouyang, Dong Chen, Qifeng Chen, Fang Wen. [PDF] [PDF] Peihao Zhu, Rameen Abdal, Yipeng Qin, Peter Wonka. Nevertheless, finding a definition of what is aesthetic is not BMVC 2017. [Github] [PDF], UNIT: Unsupervised Image-to-Image Translation Networks. [PDF] full resolution correspondence learning for image translation Exploring Patch-Wise Semantic Relation for Contrastive Learning in Image-to-Image Translation Tasks. NICE: Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation. Retrieval Guided Unsupervised Multi-domain Image-to-Image Translation. [PDF] [GitHub] }. Fine-grained Image-to-Image Transformation towards Visual Recognition. For more information see the Code of Conduct FAQ or contact [emailprotected] with any additional questions or comments. Cross-domain Correspondence Learning for Exemplar-based Image Translation At each hierarchy, the correspondence can be efficiently computed via PatchMatch that iteratively leverages the matchings from the neighborhood. Kaihong Wang, Kumar Akash, Teruhisa Misu. Springer Machine Vision and Applications 2021. Note you need to download our train-val split lists train.txt and val.txt from this link in this step. Lijie Fan, Wenbing Huang, Chuang Gan, Junzhou Huang, Boqing Gong. [PDF] [Github] Image-to-image translation. We present the full-resolution correspondence learning for cross-domain Harnessing the Conditioning Sensorium for Improved Image Translation [PDF] [Github], AniGAN: Style-Guided Generative Adversarial Networks for Unsupervised Anime Face Generation. Experiments on diverse translation tasks show our approach performs considerably better than state-of-the-arts on producing high-resolution images. [PDF] [PDF] Hanting Chen, Yunhe Wang, Han Shu, Changyuan Wen, Chunjing Xu, Boxin Shi, Chao Xu, Chang Xu. [PDF] [Github] [PDF]. [Project] [Github] [PDF], IcGAN: Invertible Conditional GANs for Image Editing. Yahui Liu, Marco De Nadai, Deng Cai, Huayang Li, Xavier Alameda-Pineda, Nicu Sebe, Bruno Lepri. ICLR 2020. arxiv 2021. George Cazenavette, Manuel Ladron De Guevara. CVPR 2018. [PDF], Fix the Noise: Disentangling Source Feature for Transfer Learning of StyleGAN. Xingran Zhou, Bo Zhang, Ting Zhang, Pan Zhang, Jianmin Bao, Dong Chen, Zhongfei Zhang, Fang Wen. [PDF][Project] [Github] title = {CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation}, Zekang Chen, Jia Wei, Rui Li. You can set batchSize to 16, 8 or 4 with fewer GPUs and change gpu_ids. TIP 2019. ICCV Workshop 2021. Augmenting Colonoscopy using Extended and Directional CycleGAN for Lossy Image Translation. [PDF][Github] This project has adopted the Microsoft Open Source Code of Conduct. Jianxin Lin, Yingxue Pang, Yingce Xia, Zhibo Chen, Jiebo Luo. [PDF] [PDF] Chin-Yuan Yeh, Hsi-Wen Chen, Hong-Han Shuai, De-Nian Yang, Ming-Syan Chen. [PDF] Liyun Zhang, Photchara Ratsamee, Bowen Wang, Zhaojie Luo, Yuki Uranishi, Manabu Higashida, Haruo Takemura. [PDF] Arun Mallya, Ting-Chun Wang, Karan Sapra, Ming-Yu Liu. Rongliang Wu, Shijian Lu. markdown format: File "/home/kas/CoCosNet-v2/data/pix2pix_dataset.py", line 33, in initialize Ming-Yu Liu, Thomas Breuel, Jan Kautz. VR Facial Animation via Multiview Image Translation. Fangneng Zhan, Jiahui Zhang, Yingchen Yu, Rongliang Wu, Shijian Lu. Soohyun Kim, Jongbeom Baek, Jihye Park, Gyeongnyeon Kim, Seungryong Kim. [PDF], IEGAN: Independent Encoder for Deep Hierarchical Unsupervised Image-to-Image Translation. arxiv 2020. Helisa Dhamo, Azade Farshad, Iro Laina, Nassir Navab, Gregory D. Hager, Federico Tombari, Christian Rupprecht. We present the full-resolution correspondence learning for cross-domain images, which aids image translation. ADGAN: Controllable Person Image Synthesis with Attribute-Decomposed GAN. Abstract: We present the full-resolution correspondence learning for cross-domain images, which aids image translation. Shih-En Wei, Jason Saragih, Tomas Simon, Adam W. Harley, Stephen Lombardi, Michal Perdoch, Alexander Hypes, Dawei Wang, Hernan Badino, Yaser Sheikh. Style-Guided and Disentangled Representation for Robust Image-to-Image Translation. NeurIPS 2017. LEED: Label-Free Expression Editing via Disentanglement. [PDF] Hao Tang, Dan Xu, Nicu Sebe, Yan Yan. Siyuan Li, Semih Gnel, Mirela Ostrek, Pavan Ramdya, Pascal Fua, Helge Rhodin. Guillaume Lample, Neil Zeghidour, Nicolas Usunier, Antoine Bordes, Ludovic Denoyer, Marc'Aurelio Ranzato. [PDF] [Github] Tao Yang, Peiran Ren, Xuansong Xie, Xiansheng Hua, Lei Zhang. Textured Neural Avatars. TIP 2021. For example xxx_ref.txt and xxx_ref_test.txt, as provided by CoCosNet v1. [PDF] [Github] m Calcified plaque in the aorta and pelvic arteries is associated with cor Cross-domain Correspondence Learning for Exemplar-based Image arxiv 2020. We offer the keypoints detection results used in our experiment in this link. Image Translation, MIDMs: Matching Interleaved Diffusion Models for Exemplar-based Image Xiaoming Yu, Yuanqi Chen, Shan Liu, Thomas Li, Ge Li. ACCV 2020. IJCAI 2021. 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] [PDF] [Project] [Github] [TensorFlow], pix2pix: Image-to-Image Translation with Conditional Adversarial Networks. Rui Gong, Dengxin Dai, Yuhua Chen, Wen Li, Luc Van Gool. Huiyuan Fu, Ting Yu, Xin Wang, Huadong Ma. ICLR 2022. arxiv 2020. arxiv 2021. In each Junyoung Seo, Gyuseong Lee, Seokju Cho, Jiyoung Lee, Seungryong Kim. Note the file name is img_highres.zip. Tex2Shape: Detailed Full Human Body Geometry From a Single Image. NeurIPS 2020. [PDF] [PDF] [arxiv] [project] Yaxing Wang, Joost van de weijer, Lu Yu, Shangling Jui. SPatchGAN: A Statistical Feature Based Discriminator for Unsupervised Image-to-Image Translation. arxiv 2020. 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. Abstract We present the full-resolution correspondence learning for cross-domain images, which aids image translation. Yanwu Xu, Shaoan Xie, Wenhao Wu, Kun Zhang, Mingming Gong, Kayhan Batmanghelich. [PDF] [Project] [PDF], Contrastive Learning for Unsupervised Image-to-Image Translation. Aamir Mustafa, Rafal K. Mantiuk. #art #artist #anime #cool #meatcanyon #hashtag #fyp. [PDF] [PDF] [Github], Image-to-Image Translation with Low Resolution Conditioning. arxiv 2019. Yuda Song, Hui Qian, Xin Du. Shaoan Xie, Mingming Gong, Yanwu Xu, Kun Zhang. [PDF] [Github], ZUNIT: Toward Zero-Shot Unsupervised Image-to-Image Translation. full resolution correspondence learning for image translation why shouldn't you whistle at night native. Note the file name is img_highres.zip. The codes and the pretrained model in this repository are under the MIT license as specified by the LICENSE file. Since the original resolution of DeepfashionHD is 750x1101, we use a Python script to process the images to the resolution 512x512. full resolution correspondence learning for image translation Chenlin Meng, Aviv Gabbay, Yedid Hoshen. [PDF] Hao Tang, Dan Xu, Hong Liu, Nicu Sebe. translation. Quickly comparing your image classification models with the state-of-the-art models (such as DenseNet, ResNet, ), We evaluate our method on different datasets (including ShapeNet, CUB-200-2011, and Pascal3D+) and achieve state-of-the-art results, Pytorch implementation of the DeepDream computer vision algorithm. The proposed CoCosNet v2, a GRU-assisted PatchMatch approach, is fully differentiable and highly efficient. TPAMI 2022. Local Image-to-Image Translation via Pixel-wise Highway Adaptive Instance Normalization. Yunjey Choi, Minje Choi, Munyoung Kim, Jung-Woo Ha, Sunghun Kim, Jaegul Choo. Where To Find Crn Or Drl NumberBritish Columbia - 1 Alberta - 2 CVPR 2021 Workshop on NTIRE. Long-Term Temporally Consistent Unpaired Video Translation from Simulated Surgical 3D Data. Justin Theiss, Jay Leverett, Daeil Kim, Aayush Prakash. This code borrows heavily from CocosNet and DeepPruner. Chao Yang, Taehwan Kim, Ruizhe Wang, Hao Peng, C.-C. Jay Kuo. Create Challan Form (CRN) User Manual. [PDF] [Supplementary Materials] [Github] iteratively leverages the matchings from the neighborhood. DGC-Net: Dense Geometric Correspondence Network This is a PyTorch implementation of our work "DGC-Net: Dense Geometric Correspondence Network" TL;DR A, Learnable Motion Coherence for Correspondence Pruning Yuan Liu, Lingjie Liu, Cheng Lin, Zhen Dong, Wenping Wang Project Page Any questions or discussi, MMNet This repo is the official implementation of ICCV 2021 paper "Multi-scale Matching Networks for Semantic Correspondence.". Jianxin Lin, Yingce Xia, Yijun Wang, Tao Qin, Zhibo Chen. Clova AI Research, NAVER Corp. GAN Compression: Efficient Architectures for Interactive Conditional GANs. An error has occurred FlexIT: Towards Flexible Semantic Image Translation. Dilara Gokay, Enis Simsar, Efehan Atici, Alper Ahmetoglu, Atif Emre Yuksel, Pinar Yanardag. GAN-Based Unpaired Chinese Character Image Translation via Skeleton Transformation and Stroke Rendering. [PDF] [GIthub], Cross-Domain Cascaded Deep Feature Translation. 10 25 Australia Oceania Place 25 comments Best kalmia440 4 yr. TuiGAN: Learning Versatile Image-to-Image Translation with Two Unpaired Images. [PDF], U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for 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. Yazeed Alharbi, Neil Smith, Peter Wonka. Transformation Consistency Regularization: A Semi-Supervised Paradigm for 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. Qiusheng Huang, Zhilin Zheng, Xueqi Hu, Li Sun, Qingli Li. InstaGAN: Instance-aware Image-to-Image Translation. A unique hashtag has the ability to make your message stand out, and. Run the following command for training from scratch. Pan Zhang - GitHub Pages 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. Unsupervised Image-to-Image Translation with Generative Prior. We adopt a hierarchical strategy that uses the correspondence from coarse level to guide the fine levels. [PDF] Experiments on diverse translation tasks show that CoCosNet v2 performs considerably better than state-of-the-art literature on producing high-resolution images. Authors Channel Summit. [PDF] [Github], Improving Style-Content Disentanglement in Image-to-Image Translation. . CouncilGAN: Breaking The Cycle: Colleagues Are All You Need. Benign Examples: Imperceptible Changes Can Enhance Image Translation Performance. Distilling Portable Generative Adversarial Networks for Image Translation.
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