CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation (CVPR 2021, oral presentation) CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation CVPR 2021, oral presentation Xingran Zhou, Bo Zhang, Ting Zhang, Pan Zhang, Jianmin Bao, Dong Chen, Zhongfei Zhang, Fang Wen. Dong Chen's Homepage [PDF] [PDF], AttentionGAN: Attention-Guided Generative Adversarial Networks for Unsupervised Image-to-Image Translation. [PDF] [Github], Augmented Cyclic Consistency Regularization for Unpaired Image-to-Image Translation. Full-Resolution Correspondence Learning for Image Translation Lingke Kong, Chenyu Lian, Detian Huang, Zhenjiang Li, Yanle Hu, Qichao Zhou. Wenqing Chu, Wei-Chih Hung, Yi-Hsuan Tsai, Yu-Ting Chang, Yijun Li, Deng Cai, Ming-Hsuan Yang. differentiable and highly efficient. [PDF] This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository. Monday is dedicated to providing the best educational project management solution. Stefano Ermon. Jianxin Lin, Yingxue Pang, Yingce Xia, Zhibo Chen, Jiebo Luo. [PDF] [TOG 2020 Papers On The Web], MichiGAN: Multi-Input-Conditioned Hair Image Generation for Portrait Editing. [PDF] arxiv 2021. (2021) Dagstuhl. full resolution correspondence learning for image translation ForkGAN: Seeing into the Rainy Night. pages = {11465-11475} Intuitive, Interactive Beard and Hair Synthesis with Generative Models. IrwGAN: Unaligned Image-to-Image Translation by Learning to Reweight. Developing shipment plans as per product availability and request from customers. Oren Katzir, Dani Lischinski, Daniel Cohen-Or. [PDF] [Project], Dual Diffusion Implicit Bridges for Image-to-Image Translation. Kanishka Rao, Chris Harris, Alex Irpan, Sergey Levine, Julian Ibarz, Mohi Khansari. arxiv 2020. [PDF] [Video] [Github] EG-UNIT: Exemplar Guided Unsupervised Image-to-Image Translation with Semantic Consistency. ASAPNet: Spatially-Adaptive Pixelwise Networks for Fast Image Translation. 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. Then run the following command. [PDF] [Github], StyleGAN-NADA: CLIP-Guided Domain Adaptation of Image Generators. [PDF] Lai Jiang, Mai Xu, Xiaofei Wang, Leonid Sigal. [PDF][Github] You can find the script in data/preprocess.py. uses the correspondence from coarse level to guide the finer levels. Qiusheng Huang, Xueqi Hu, Li Sun, Qingli Li. Cooper Nederhood, Nicholas Kolkin, Deqing Fu, Jason Salavon. Vector Quantized Image-to-Image Translation. arxiv 2022. In summary, this work aims to make two contributions: (1) Augmenting Colonoscopy using Extended and Directional CycleGAN for Lossy Image Translation. [PDF] [Github] [PDF], RL-GAN: Transfer Learning for Related Reinforcement Learning Tasks via Image-to-Image Translation. If you think I have missed out on something (or) have any suggestions (papers, implementations and other resources), feel free to pull a request. ./dataset/deepfashionHD/pose\MEN\Denim\id_00000089\02_7_additional_candidate.txt not found. title = {CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation}, TOG 2019. Experiments on diverse translation tasks show our approach performs considerably better than state-of-the-arts on producing high-resolution . arxiv 2022. Cross-Domain Cascaded Deep Feature Translation. full resolution correspondence learning for image translation. contact dblp; Xingran Zhou et al. Jialu Huang, Jing Liao, Sam Kwong. Also, welcome to refer to our CoCosNet v1: John was the first writer to have joined pythonawesome.com. [Github] [PDF]. Fabio Pizzati, Jean-Franois Lalonde, Raoul de Charette. Yong Wang, Longyue Wang, Shuming Shi, Victor Li, Zhaopeng Tu. [PDF] [Github], ZUNIT: Toward Zero-Shot Unsupervised Image-to-Image Translation. arxiv 2019. [PDF] Make sure you have prepared the DeepfashionHD dataset as the instruction. Torr, Nicu Sebastie. [PDF], Unpaired Image-to-Image Translation via Latent Energy Transport. Ondej Jamrika, rka Sochorov, Ondej Texler, Michal Luk, Jakub Fier, Jingwan Lu, Eli Shechtman, Daniel Skora. CVPR 2018. [PDF] [Github], DRIT++: Diverse Image-to-Image Translation via Disentangled Representations. Ali Koksal, Shijian Lu. arxiv 2021. ICCV 2017. [PDF] RelGAN: Multi-Domain Image-to-Image Translation via Relative Attributes. [PDF] [Github] Runfa Chen, Wenbing Huang, Binghui Huang, Fuchun Sun, Bin Fang. Reddit and its partners use cookies and similar technologies to provide you with a better experience. Move the models below the folder checkpoints/deepfashionHD. Jinsong Zhang, Kun Li, Yu-Kun Lai, Jingyu Yang. Paper | Slides Abstract AAAI 2019. full resolution correspondence learning for image translation why shouldn't you whistle at night native. arxiv 2020. This code borrows heavily from CocosNet and DeepPruner. Yunfei Liu, Haofei Wang, Yang Yue, Feng Lu. Bridging the Gap Between Label- and Reference-Based Synthesis in Multi-Attribute Image-to-Image Translation. Unsupervised Sketch-to-Photo Synthesis. International Conference on Multimedia Modeling (MMM2020). [pdf] [Supplement] Explicitly Disentangling Image Content From Translation And Rotation With Spatial-VAE. Prajwal Renukanand, Rudrabha Mukhopadhyay, Jerin Philip, Abhishek Jha, Vinay Namboodiri and C.V. Jawahar. Linfeng Zhang, Xin Chen, Xiaobing Tu, Pengfei Wan, Ning Xu, Kaisheng Ma. 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. [PDF] Chanyong Jung, Gihyun Kwon, Jong Chul Ye. [PDF] [Github] Zhentao Tan, Menglei Chai, Dongdong Chen, Jing Liao, Qi Chu, Lu Yuan, Sergey Tulyakov, Nenghai Yu. [PDF], TriGAN: Image-to-Image Translation for Multi-Source Domain Adaptation. [PDF] [Project] [Github] arxiv 2020. [PDF], Image to Image Translation for Domain Adaptation.. Junho Kim, Minjae Kim, Hyeonwoo Kang, Kwanghee Lee. [PDF] [Github], Show, Attend and Translate: Unsupervised Image Translation with Self-Regularization and Attention. arxiv 2019. Yazeed Alharbi, Neil Smith, Peter Wonka. arxiv 2021. NeurIPS 2020. Liming Jiang, Changxu Zhang, Mingyang Huang, Chunxiao Liu, Jianping Shi, Chen Change Loy. Shuchang Zhou, Taihong Xiao, Yi Yang, Dieqiao Feng, Qinyao He, Weiran He. Guansong Lu, Zhiming Zhou, Yuxuan Song, Kan Ren, Yong Yu. The proposed CoCosNet v2, a GRU-assisted PatchMatch approach, is fully differentiable and highly efficient. when I run the test, I got the keyerror results. In particular, configuration files for the Metfaces dataset would be appreciated, otherwise comparisons cannot be made. ADGAN: Controllable Person Image Synthesis with Attribute-Decomposed GAN. [PDF] Zhengxia Zou, Tianyang Shi, Shuang Qiu, Yi Yuan, Zhenwei Shi. full resolution correspondence learning for image translation Full-Resolution Correspondence Learning for Image Translation [PDF], U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation. Rinon Gal, Or Patashnik, Haggai Maron, Gal Chechik, Daniel Cohen-Or. Multimodal Style Transfer via Graph Cuts. full resolution correspondence learning for image translation [PDF][Github] Diagonal Attention and Style-based GAN for Content-Style Disentanglement in Image Generation and Translation. arxiv 2020. Tristan Bepler, Ellen Zhong, Kotaro Kelley, Edward Brignole, Bonnie Berger.*. ICML 2019. Self-Supervised CycleGAN for Object-Preserving Image-to-Image Domain Adaptation. [PDF] [Github], BalaGAN: Image Translation Between Imbalanced Domains via Cross-Modal Transfer. [PDF][Github] arxiv 2023. [PDF] Transactions on Visualizations and Computer Graphics. We present the full-resolution correspondence learning for cross-domain images, which aids image translation. awesome image-to-image translation A collection of resources on image-to-image translation. [PDF][Github] [PDF], Breaking the Dilemma of Medical Image-to-image Translation. [PDF], OT-CycleGAN: Guiding the One-to-one Mapping in CycleGAN via Optimal Transport. [PDF][Github][Project] Anthony Dell'Eva, Fabio Pizzati, Massimo Bertozzi, Raoul de Charette. [PDF] [Project] [Video], BlendGAN: Implicitly GAN Blending for Arbitrary Stylized Face Generation. [PDF] [Project] [Github] [PDF] Ben Usman, Dina Bashkirova, Kate Saenko. The full-resolution correspondence is learned hierarchically, where the low-resolution result serves as the initialization for the next level. 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. After following the instructions to run the test.py, the following error pops up Wayne Wu, Kaidi Cao, Cheng Li, Chen Qian, Chen Change Loy. BMVC 2021. This project has adopted the Microsoft Open Source Code of Conduct. Omry Sendik, Dani Lischinski, Daniel Cohen-Or. weihaox/awesome-image-translation - GitHub Pauliina Paavilainen, Saad Ullah Akram, Juho Kannala. [PDF] [Project] [Github] Junyoung Seo, Gyuseong Lee, Seokju Cho, Jiyoung Lee, Seungryong Kim. Kaihong Wang, Kumar Akash, Teruhisa Misu. How can I correct errors in dblp? Tengfei Wang, Ting Zhang, Bo Zhang, Hao Ouyang, Dong Chen, Qifeng Chen, Fang Wen. Min Zhao, Fan Bao, Chongxuan Li, Jun Zhu. AAAI 2021. [PDF], DosGAN: Exploring Explicit Domain Supervision for Latent Space Disentanglement in Unpaired Image-to-Image Translation. Download the pretrained model from this link. [PDF] Unselfie: Translating Selfies to Neutral-pose Portraits in the Wild. An error has occurred [R] Full-Resolution Correspondence Learning for Image Translation - reddit Unsupervised one-to-many image translation. file in archive is not in a subdirectory archive/: latest_net_D.pth, Traceback (most recent call last): Guided Variational Autoencoder for Disentanglement Learning. Fast-Vid2Vid: Spatial-Temporal Compression for Video-to-Video Synthesis. [PDF] [Github], The Surprising Effectiveness of Linear Unsupervised Image-to-Image Translation. Bin Ren, Hao Tang, Yiming Wang, Xia Li, Wei Wang, Nicu Sebe. StarGAN v2: Diverse Image Synthesis for Multiple Domains. Adversarial Self-Defense for Cycle-Consistent GANs. We use OpenPose to estimate pose of DeepFashion(HD). Wonwoong Cho, Kangyeol Kim, Eungyeup Kim, Hyunwoo J. Kim, Jaegul Choo. [PDF], StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation. [PDF] [Project] Omry Sendik, Dani Lischinski, Daniel Cohen-Or. CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation. [PDF] [Project] [Github] Hao Tang, Dan Xu, Gaowen Liu, Wei Wang, Nicu Sebe, Yan Yan. [PDF] [Github], Asymmetric GAN for Unpaired Image-to-Image Translation. The proposed GRU-assisted PatchMatch is fully [PDF] [Github] [PDF] Few-shot Image Generation via Cross-domain Correspondence. [PDF] [Github] [PDF] full resolution correspondence learning for image translation [PDF] [Github], Separating Content and Style for Unsupervised Image-to-Image Translation. Translation, CFFT-GAN: Cross-domain Feature Fusion Transformer for Exemplar-based Kuniaki Saito, Kate Saenko, Ming-Yu Liu. Wen Liu, Zhixin Piao, Jie Min, Wenhan Luo, Lin Ma, Shenghua Gao. Note that --dataroot parameter is your DeepFashionHD dataset root, e.g. If you use this code for your research, please cite our papers. We offer the keypoints detection results used in our experiment in this link. In each hierarchy, the correspondence can be efficiently computed via PatchMatch that iteratively leverages the matchings from the neighborhood. Textured Neural Avatars. We present the full-resolution correspondence learning for cross-domain images, which aids image translation. LGGAN: Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation. Bo Zhang - Microsoft Research Asia CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation Arun Mallya, Ting-Chun Wang, Karan Sapra, Ming-Yu Liu. [PDF], Conditional Invertible Neural Networks for Diverse Image-to-Image Translation. SIGGRAPH 2022. [PDF] [Github] TypeError: cannot unpack non-iterable NoneType object, Few-shot Image Generation via Cross-domain Correspondence Utkarsh Ojha, Yijun Li, Jingwan Lu, Alexei A. Efros, Yong Jae Lee, Eli Shechtman, Richard Zh, Reference-Based-Sketch-Image-Colorization-ImageNet This is a PyTorch implementation of CVPR 2020 paper (Reference-Based Sketch Image Colorization usin, Realistic Full-Body Anonymization with Surface-Guided GANs This is the official, Image Quality Evaluation Metrics Implementation of some common full reference image quality metrics. [PDF], Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation. [PDF] Yi Wang, Ying-Cong Chen, Xiangyu Zhang, Jian Sun and Jiaya Jia. Neural Wireframe Renderer: Learning Wireframe to Image Translations. [PDF] [Project] [Github] The-Phuc Nguyen, Stphane Lathuilire, Elisa Ricci. Ben Usman, Nick Dufour, Kate Saenko, Chris Bregler. Full-Resolution Correspondence Learning for Image Translation Xiaokang Zhang, Yuanlue Zhu, Wenting Chen, Wenshuang Liu, Linlin Shen. Gwanghyun Kim, Taesung Kwon, Jong Chul Ye. Feedback and contributions are welcome! ICCV Workshop 2021. Neural Networks 2020. [PDF] [Github], SAM: Only a Matter of Style-Age Transformation Using a Style-Based Regression Model. Computer Vision and Pattern Recognition (CVPR oral), 2021. Does this mean the pth file was corrupted? ICCV 2019 Workshops. Marginal Contrastive Correspondence for Guided Image Generation. Within each Shani Gamrian, Yoav Goldberg. Yang Zhao, Changyou Chen. Enjoy Your Editing: Controllable GANs for Image Editing via Latent Space Navigation. [PDF] Bringing Old Photos Back to Life. Liqian Ma, Xu Jia, Stamatios Georgoulis, Tinne Tuytelaars, Luc Van Gool. Full-Resolution Correspondence Learning for Image Translation." help us. [PDF], CLADE: Rethinking Spatially-Adaptive Normalization. Multimodal Structure-Consistent Image-to-Image Translation. Lei Zhao, Qihang Mo, Sihuan Lin, Zhizhong Wang, Zhiwen Zuo, Haibo Chen, Wei Xing, Dongming Lu. Homomorphic Interpolation Network for Unpaired Image-to-image Translation. Model-Aware Gesture-to-Gesture Translation. [PDF] [Github] [PDF], UNIT: Unsupervised Image-to-Image Translation Networks. You need to install conda first, and then run conda env create --file asset/dualrcnet.yml To activate the environment, run conda activate dualrcnet Preparing data Taeksoo Kim, Moonsu Cha, Hyunsoo Kim, Jung Kwon Lee, Jiwon Kim. NeurIPS 2016 Workshop on Adversarial Training. Shaoan Xie, Mingming Gong, Yanwu Xu, Kun Zhang. ReversibleGANs for Memory-Efficient ImageTo 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. hierarchy, the correspondence can be efficiently computed via PatchMatch that Hanbit Lee, Jinseok Seol, Sang-goo Lee. Smoothing the Disentangled Latent Style Space for Unsupervised 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. From Design Draft to Real Attire: Unaligned Fashion Image Translation. Kwanyong Park, Sanghyun Woo, Dahun Kim, Donghyeon Cho, In So Kweon. Yuanqi Chen, Xiaoming Yu, Shan Liu, Ge Li. 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). [PDF], ISF-GAN: An Implicit Style Function for High-Resolution Image-to-Image Translation. CVPR 2021, oral presentation [PDF] [Supplementary Materials] [Github] [PDF] Jie Liang, Hui Zeng, Lei Zhang. Posted on . Kancharagunta Kishan Babu, Shiv Ram Dubey. Wish You Were Here: Context-Aware Human Generation. Wenju Xu, Shawn Keshmiri, Guanghui Wang. Fleet, Mohammad Norouzi. full resolution correspondence learning for image translation RIFT: Disentangled Unsupervised Image Translation via Restricted Information Flow. Cookie Notice CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation Muyang Li, Ji Lin, Yaoyao Ding, Zhijian Liu, Jun-Yan Zhu, and Song Han. full resolution correspondence learning for image translation A tag already exists with the provided branch name. [PDF] [Project], MCMI: Multi-Cycle Image Translation with Mutual Information Constraints. Fangneng Zhan, Yingchen Yu, Rongliang Wu, Jiahui Zhang, Shijian Lu, Changgong Zhang. [PDF]. Dongyeun Lee, Jae Young Lee, Doyeon Kim, Jaehyun Choi, Junmo Kim. Yuki Endo, Yoshihiro Kanamori. Eitan Richardson, Yair Weiss. Abstract: We present the full-resolution correspondence learning for cross-domain images, which aids image translation. Guillaume Couairon, Asya Grechka, Jakob Verbeek, Holger Schwenk, Matthieu Cord. [PDF] [Project] [Github], Towards Automatic Face-to-Face Translation. [PDF] The inference results are saved in the folder checkpoints/deepfashionHD/test. [PDF] Zhiwei Jia, Bodi Yuan, Kangkang Wang, Hong Wu, David Clifford, Zhiqiang Yuan, Hao Su. ICLR 2023. Distilling Portable Generative Adversarial Networks for Image Translation. Abstract: One of our most remarkable mental capacities is the ability to use our imagination voluntarily to mimic or simulate sensations, actions, and other experiences. [PDF], Network-to-Network Translation with Conditional Invertible Neural Networks. IJCV 2020. Yugang Chen, Muchun Chen, Chaoyue Song, Bingbing Ni. Download them all and move below the folder data/. [PDF] [Github] Note that --dataroot parameter is your DeepFashionHD dataset root, e.g. [PDF], Contrastive Feature Loss for Image Prediction. Kyungjune Baek, Yunjey Choi, Youngjung Uh, Jaejun Yoo, Hyunjung Shim. TraVeLGAN: Image-To-Image Translation by Transformation Vector Learning. Note the file name is img_highres.zip. Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation to Disease Detection and Localization. Takehiko Ohkawa, Naoto Inoue, Hirokatsu Kataoka, Nakamasa Inoue. arxiv 2021. Lijie Fan, Wenbing Huang, Chuang Gan, Junzhou Huang, Boqing Gong. [PDF], Unsupervised multi-modal Styled Content Generation. You can find the script in data/preprocess.py. Joonyoung Song, Jong Chul Ye. [PDF], Future Urban Scenes Generation Through Vehicles Synthesis. Hanting Chen, Yunhe Wang, Han Shu, Changyuan Wen, Chunjing Xu, Boxin Shi, Chao Xu, Chang Xu. Fine-grained Image-to-Image Transformation towards Visual Recognition. [PDF] [Github], Stochastic Actor-Executor-Critic for Image-to-Image Translation. [PDF] arxiv 2020. The images from distinct domains are first aligned to an intermediate domain where dense correspondence is established. arxiv 2019. Yi Wang, Ying-Cong Chen, Xiangyu Zhang, Jian Sun, Jiaya Jia. [PDF][Github] Taewon Kang, Soohyun Kim, Sunwoo Kim, Seungryong Kim. Kunhee Kim, Sanghun Park, Eunyeong Jeon, Taehun Kim, Daijin Kim. [PDF] Panoptic-Aware Image-to-Image Translation. [PDF] [Project] [Github] [PDF] [Project] performs considerably better than state-of-the-arts on producing Multi-Curve Translator for High-Resolution Photorealistic Image Translation. Yaxing Wang, Salman Khan, Abel Gonzalez-Garcia, Joost van de Weijer, Fahad Shahbaz Khan. arxiv 2020. TIP 2021. Boyi Li, Yin Cui, Tsung-Yi Lin, Serge Belongie. [PDF] [Github] [PDF] [Github], Image-to-Image Translation with Low Resolution Conditioning. We present the full-resolution correspondence learning for cross-domain images, which aids image translation. Image-to-Image Regression Artificial Intelligence - Deep Learning IJCAI 2019. TSIT: A Simple and Versatile Framework for Image-to-Image Translation. [PDF] [Github] TOG 2021. isd194 staff calendar. Samuel Lavoie-Marchildon, Sebastien Lachapelle, Mikoaj Bikowski, Aaron Courville, Yoshua Bengio, R Devon Hjelm. Or fastest delivery Wed, Nov 2. WACV 2020. Image Translation, Marginal Contrastive Correspondence for Guided Image Generation, Exploring Patch-wise Semantic Relation for Contrastive Learning in www.microsoft.com [PDF] Ivan Anokhin, Pavel Solovev, Denis Korzhenkov, Alexey Kharlamov, Taras Khakhulin, Gleb Sterkin, Alexey Silvestrov, Sergey Nikolenko, Victor Lempitsky. Download the train-val lists from this link, and the retrival pair lists from this link. Baran Ozaydin, Tong Zhang, Sabine Susstrunk, Mathieu Salzmann. Deep CG2Real: Synthetic-to-Real Translation via Image Disentanglement. arxiv 2022. [PDF] [Github] [PDF] [Github], DEEPSim: Deep Single Image Manipulation. Weilun Wang, Wengang Zhou, Jianmin Bao, Dong Chen, Houqiang Li. We adopt a hierarchical strategy that Abstract: A huge number of publications are devoted to aesthetic emotions; Google Scholar gives 319,000 references. Fabio Pizzati, Pietro Cerri, Raoul de Charette. Lifan Zhao, Yunlong Meng, Lin Xu. We adopt a hierarchical strategy that uses the correspondence from coarse level to guide the fine levels. Utkarsh Ojha, Yijun Li, Jingwan Lu, Alexei A. Efros, Yong Jae Lee, Eli Shechtman, Richard Zhang. full resolution correspondence learning for image translation Yuval Alaluf, Or Patashnik, Daniel Cohen-Or. GAN-Based Unpaired Chinese Character Image Translation via Skeleton Transformation and Stroke Rendering. Pan Zhang, Bo Zhang, Dong Chen, Lu Yuan, Fang Wen. Ziqiang Zheng, Yang Wu, Xinran Han, Jianbo Shi. [PDF], I2V-GAN: Unpaired Infrared-to-Visible Video Translation. Junsoo Lee, Eungyeup Kim, Yunsung Lee, Dongjun Kim, Jaehyuk Chang, Jaegul Choo. We present the full-resolution correspondence learning for cross-domain images, which aids image translation. Wenju Xu, Guanghui Wang. Longquan Dai, Jinhui Tang. arxiv 2020. TIP 2019. [PDF], Diffusion-based Image Translation using Disentangled Style and Content Representation. Unsupervised Image-to-Image Translation with Generative Prior. Zewei Sun, Shujian Huang, Hao-Ran Wei, Xin-yu Dai, Jiajun Chen.