Instance-wise Hard Negative Example Generation for Contrastive Learning in Unpaired Image-to-Image Translation. arxiv 2022. Ziqiang Zheng, Yang Wu, Xinran Han, Jianbo Shi. [PDF] [Github], Semi-Supervised Image-to-Image Translation using Latent Space Mapping. [PDF]. MIDMs: Matching Interleaved Diffusion Models for Exemplar-based Image CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation Qiusheng Huang, Xueqi Hu, Li Sun, Qingli Li. I2SB: Image-to-Image Schrdinger Bridge. Chao Yang, Taehwan Kim, Ruizhe Wang, Hao Peng, C.-C. Jay Kuo. Xingran Zhou, Bo Zhang, Ting Zhang, Pan Zhang, Jianmin Bao, Dong Chen, Zhongfei Zhang, Fang Wen, Full-Resolution Correspondence Learning for Image Translation. Junyoung Seo, Gyuseong Lee, Seokju Cho, Jiyoung Lee, Seungryong Kim. [PDF] [Github], Show, Attend and Translate: Unsupervised Image Translation with Self-Regularization and Attention. Fast-Vid2Vid: Spatial-Temporal Compression for Video-to-Video Synthesis. Thiemo Alldieck, Gerard Pons-Moll, Christian Theobalt, Marcus Magnor. Jie Hu, Rongrong Ji, Hong Liu, Shengchuan Zhang, Cheng Deng, Qi Tian. NeurIPS 2021. Experiments on diverse translation tasks show our approach Full-Resolution Correspondence Learning for Image Translation ACM MM 2019. CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation [PDF] [Github], Unpaired Photo-to-manga Translation Based on The Methodology of Manga Drawing. Bo Zhang - Microsoft Research Asia arxiv 2021. 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. Arbish Akram and Nazar Khan. RelGAN: Multi-Domain Image-to-Image Translation via Relative Attributes. How can I correct errors in dblp? AAAI 2019. Yingruo. Abstract: A huge number of publications are devoted to aesthetic emotions; Google Scholar gives 319,000 references. Simyung Chang, SeongUk Park, John Yang, Nojun Kwak. deepfashion_ref.txt, deepfashion_ref_test.txt and deepfashion_self_pair.txt are the paring lists used in our experiment. Yuki Endo, Yoshihiro Kanamori. [PDF][Project][Github] [PDF][Github] WCVA 2021 Workshop at ICVGIP. CoCosNet v2: Full-Resolution Correspondence Learning for AAAI 2021. [PDF] [Github], Unsupervised Image-to-Image Translation via Pre-trained StyleGAN2 Network. [pdf] [Supplement] [PDF] [Project], Analogical Image Translation for Fog Generation. [Project] [Github] [PDF], IcGAN: Invertible Conditional GANs for Image Editing. Jie Cao, Huaibo Huang, Yi Li, Ran He, Zhenan Sun. Paper | Slides Abstract This project has adopted the Microsoft Open Source Code of Conduct. Cross-Granularity Learning for Multi-Domain Image-to-Image Translation. Trust Monday to help you streamline your schoolwork and enhance the quality of . [PDF] CoCosNet v2: Full-Resolution Correspondence Learning for Image arxiv 2020. [PDF] [Project] [Github], Liquid Warping GAN with Attention: A Unified Framework for Human Image Synthesis. Lingke Kong, Chenyu Lian, Detian Huang, Zhenjiang Li, Yanle Hu, Qichao Zhou. Zak Murez, Soheil Kolouri, David Kriegman, Ravi Ramamoorthi, Kyungnam Kim.. Konstantinos Vougioukas, Stavros Petridis, Maja Pantic. We adopt a hierarchical strategy that uses the correspondence from coarse level to guide the fine levels. CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation Diverse Image Generation via Self-Conditioned GANs..[PDF] [Project] [Github] [PDF] CouncilGAN: Breaking The Cycle: Colleagues Are All You Need. [PDF] Full-Resolution Correspondence Learning for Image Translation Experiments on diverse translation tasks show that CoCosNet v2 performs considerably better than state-of-the-art literature on producing high . Ruho Kondo, Keisuke Kawano, Satoshi Koide, Takuro Kutsuna. Semantically Robust Unpaired Image Translation for Data With Unmatched Semantics Statistics. isd194 staff calendar. Multi-Channel Attention Selection GAN With Cascaded Semantic Guidance for Cross-View Image Translation. Multi-feature contrastive learning for unpaired image-to-image translation Min Woo Kim, Nam Ik Cho. Select the boxes below to learn more details about tolls. [PDF], StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation. TPAMI 2021. [PDF] [Github] [PDF], UNIT: Unsupervised Image-to-Image Translation Networks. At each hierarchy, the correspondence can be efficiently computed via PatchMatch that iteratively leverages the matchings from the neighborhood. Computer Vision and Pattern Recognition (CVPR oral), 2021. Attentive Normalization for Conditional Image Generation. [PDF] [Project], Multi-Domain Image-to-Image Translation with Adaptive Inference Graph. Kaihong Wang, Kumar Akash, Teruhisa Misu. Peiye Zhuang, Oluwasanmi Koyejo, Alexander G. Schwing. [PDF] [Project], StyleFlow For Content-Fixed Image to Image Translation. You can find the script in data/preprocess.py. UCTGAN: Diverse Image Inpainting Based on Unsupervised Cross-Space Translation. Memory-guided Unsupervised Image-to-image Translation. Anthony Dell'Eva, Fabio Pizzati, Massimo Bertozzi, Raoul de Charette. We adopt a hierarchical strategy that uses the correspondence from coarse level to guide the fine levels. Download and unzip the results file. arxiv 2021. [PDF] [PDF], ITTR: Unpaired Image-to-Image Translation with Transformers. LEED: Label-Free Expression Editing via Disentanglement. Fast and Robust Face-to-Parameter Translation for Game Character Auto-Creation. Yi Wang, Ying-Cong Chen, Xiangyu Zhang, Jian Sun and Jiaya Jia. Note train.txt and val.txt are our train-val lists. [PDF], MatchGAN: A Self-Supervised Semi-Supervised Conditional Generative Adversarial Network. [PDF] arxiv 2020. [PDF] [Project] [Github], Masked Linear Regression for Learning Local Receptive Fields for Facial Expression Synthesis. Cookie Notice File "/home/kas/CoCosNet-v2/data/init.py", line 33, in create_dataloader arxiv 2021. [PDF] [Github], ZUNIT: Toward Zero-Shot Unsupervised Image-to-Image Translation. [PDF], Bridging the Gap Between Paired and Unpaired Medical Image Translation. arxiv 2022. Figure 10: Pose-to-body image translation results at resolution 512 512. STEFANN: Scene Text Editor using Font Adaptive Neural Network. Luigi Musto, Andrea Zinelli. python test.py --name deepfashionHD --dataset_mode deepfashionHD --dataroot deepfashionHD --PONO --PONO_C --no_flip --batchSize 8 --gpu_ids 0 --netCorr NoVGGHPM --nThreads 16 --nef 32 --amp --display_winsize 512 --iteration_count 5 --load_size 512 --crop_size 512, When I am running the project from the following command. TPAMI 2019. Jinsong Zhang, Kun Li, Yu-Kun Lai, Jingyu Yang. We adopt a hierarchical strategy that uses the correspondence from the coarse level to guide the finer levels. Ziwei Luo, Jing Hu, Xin Wang, Siwei Lyu, Bin Kong, Youbing Yin, Qi Song, Xi Wu. Image Translation, Marginal Contrastive Correspondence for Guided Image Generation, Exploring Patch-wise Semantic Relation for Contrastive Learning in Aamir Mustafa, Rafal K. Mantiuk. Yiftach Ginger, Dov Danon, Hadar Averbuch-Elor, Daniel Cohen-Or. performs considerably better than state-of-the-arts on producing Dina Bashkirova, Ben Usman, Kate Saenko. ACCV 2020. [PDF][Github] We plan to release the training code. Wenju Xu, Shawn Keshmiri, Guanghui Wang. SMIS: Semantically Multi-modal Image Synthesis. 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. Everybody Dance Now. ECCV 2022 Workshop on Learning from Limited and Imperfect Data (L2ID). CVPR 2021 Workshop. Frequency Domain Image Translation: More Photo-Realistic, Better Identity-Preserving. [PDF], I2V-GAN: Unpaired Infrared-to-Visible Video Translation. CVPR 2018. [PDF], SuperStyleNet: Deep Image Synthesis with Superpixel Based Style Encoder. [PDF], Image-to-Image Translation: Methods and Applications. We use this model to calculate training loss. ICPR 2021. Yang Chen, Yingwei Pan, Ting Yao, Xinmei Tian, Tao Mei. CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation [PDF] [PDF], Pixel-based Facial Expression Synthesis. [PDF] [Project] ICCV Workshop 2021. Model-based Occlusion Disentanglement for Image-to-image Translation. Jianxin Lin, Yingxue Pang, Yingce Xia, Zhibo Chen, Jiebo Luo. All persons copying this information are expected to adhere to the terms and constraints invoked [PDF] [Official Tensorflow] [Pytorch] [photo2cartoon] [Morph UGATIT]. ICCV 2017. ICCV 2017. 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. Distilling Portable Generative Adversarial Networks for Image Translation. [PDF] [Github] [PDF] Oran Gafni, Lior Wolf. Transformation Consistency Regularization: A Semi-Supervised Paradigm for Image-to-Image Translation. Taewon Kang, Soohyun Kim, Sunwoo Kim, Seungryong Kim. [PDF] Bringing Old Photos Back to Life. [PDF] [Project] [Github] [PDF] arxiv 2021. Wenshuang Liu, Wenting Chen, Linlin Shen. XingGAN for Person Image Generation. uses the correspondence from coarse level to guide the finer levels. [PDF] [Video] [Github] Semantic Relation Preserving Knowledge Distillation for Image-to-Image Translation. Go From the General to the Particular: Multi-Domain Translation with Domain Transformation Networks. [PDF] [Github] 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. Multimodal Structure-Consistent Image-to-Image Translation. Note you need to download our train-val split lists train.txt and val.txt from this link in this step. [PDF] [PDF] arxiv 2021. Joonyoung Song, Jong Chul Ye. These CVPR 2021 papers are the Open Access versions, provided by the. Tycho F.A. [PDF] [Github], Single Image Texture Translation for Data Augmentation. Kunhee Kim, Sanghun Park, Eunyeong Jeon, Taehun Kim, Daijin Kim. Cross-Domain Cascaded Deep Feature Translation. EG-UNIT: Exemplar Guided Unsupervised Image-to-Image Translation with Semantic Consistency. Copyright and all rights therein are retained by authors or by other copyright holders. Jie Liang, Hui Zeng, Lei Zhang. ICCV Workshop 2021. [PDF], Recapture as You Want. Tengfei Wang, Ting Zhang, Bo Zhang, Hao Ouyang, Dong Chen, Qifeng Chen, Fang Wen. [PDF] Bi-level Feature Alignment for Versatile Image Translation and Bibliographic details on CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation. Yael Vinker, Eliahu Horwitz, Nir Zabari, Yedid Hoshen. Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation to Disease Detection and Localization. . TPAMI 2020. Nick Lawrence, Mingren Shen, Ruiqi Yin, Cloris Feng, Dane Morgan. [PDF] [Project] full resolution correspondence learning for image translation. arxiv 2020. Liquid Warping GAN: A Unified Framework for Human Motion Imitation, Appearance Transfer and Novel View Synthesis. Chen Gao, Si Liu, Ran He, Shuicheng Yan, Bo Li. CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation AAAI 2019. DAGAN: Dual Attention GANs for Semantic Image Synthesis. Omry Sendik, Dani Lischinski, Daniel Cohen-Or. [PDF] [PDF] [Github], Fader Networks: Manipulating Images by Sliding Attributes. [PDF] We present the full-resolution correspondence learning for cross-domain images, which aids image translation. Experiments on diverse translation tasks show our approach performs considerably better than state-of-the-arts on producing high-resolution images. arxiv 2020. [PDF] [Supplementary Materials] [Github] Dual-Resolution Correspondence Network(NeurIPS 2020) Guillaume Couairon, Asya Grechka, Jakob Verbeek, Holger Schwenk, Matthieu Cord. [PDF] [Github], DEEPSim: Deep Single Image Manipulation. [PDF], Breaking the Dilemma of Medical Image-to-image Translation. "CoCosNet v2: Full-Resolution Correspondence Learning for Image - DBLP Make sure you have prepared the DeepfashionHD dataset as the instruction. Yu-Jie Chen, Shin-I Cheng, Wei-Chen Chiu, Hung-Yu Tseng, Hsin-Ying Lee. [PDF], Identity-Preserving Realistic Talking Face Generation. Guansong Lu, Zhiming Zhou, Yuxuan Song, Kan Ren, Yong Yu. Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, Alexei A. Efros. Qiusheng Huang, Zhilin Zheng, Xueqi Hu, Li Sun, Qingli Li. Authors Channel Summit. Wanfeng Zheng, Qiang Li, Guoxin Zhang, Pengfei Wan, Zhongyuan Wang. [PDF][Github] [PDF] Elad Richardson, Yuval Alaluf, Or Patashnik, Yotam Nitzan, Yaniv Azar, Stav Shapiro, Daniel Cohen-Or. by each author's copyright. If you think I have missed out on something (or) have any suggestions (papers, implementations and other resources), feel free to pull a request. Yifang Men, Yiming Mao, Yuning Jiang, Wei-Ying Ma, Zhouhui Lian. TransGaGaGeometry-Aware Unsupervised Image To Image Translation. What's the problem? 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], SAVI2I: Continuous and Diverse Image-to-Image Translation via Signed Attribute Vectors. [PDF][Github] Bin Ren, Hao Tang, Yiming Wang, Xia Li, Wei Wang, Nicu Sebe. [PDF] [Github], Augmented Cyclic Consistency Regularization for Unpaired Image-to-Image Translation. [PDF] Then run the following command. Benign Examples: Imperceptible Changes Can Enhance Image Translation Performance. Unselfie: Translating Selfies to Neutral-pose Portraits in the Wild. We adopt a hierarchical strategy that uses the correspondence from coarse level to guide the fine levels. In this paper, we address the problem of rain streaks removal in video by developing a self-learned rain streak removal method, which does not require any clean groundtruth images in the training process. [PDF] Xiaoming Yu, Yuanqi Chen, Shan Liu, Thomas Li, Ge Li. 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. TUNIT: Rethinking the Truly Unsupervised Image-to-Image Translation. Then run the following command. [PDF], Stylizing Video by Example. TimeCycle Code for Learning Correspondence from the Cycle-consistency of Time (CVPR 2019, Oral). www.microsoft.com An error has occurred [PDF] [Project] [Github] weihaox/awesome-image-translation - GitHub Zhengxia Zou, Tianyang Shi, Shuang Qiu, Yi Yuan, Zhenwei Shi. [PDF], IEGAN: Independent Encoder for Deep Hierarchical Unsupervised Image-to-Image Translation. [PDF], U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation. [PDF] [Github], RF-GAN: A Light and Reconfigurable Network for Unpaired Image-to-Image Translation. Utkarsh Ojha, Yijun Li, Jingwan Lu, Alexei A. Efros, Yong Jae Lee, Eli Shechtman, Richard Zhang.