Now the the directory structure is like: The inference results are saved in the folder checkpoints/deepfashionHD/test. Kuniaki Saito, Kate Saenko, Ming-Yu Liu. Wonwoong Cho, Sungha Choi, David Keetae Park, Inkyu Shin, Jaegul Choo. 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. #animeart hashtag on Instagram Photos and Videos. [PDF] [Project] [Github] Unbalanced Feature Transport for Exemplar-based Image Translation. Hanting Chen, Yunhe Wang, Han Shu, Changyuan Wen, Chunjing Xu, Boxin Shi, Chao Xu, Chang Xu. Chen Gao, Si Liu, Ran He, Shuicheng Yan, Bo Li. [PDF] Samarth Shukla, Andrs Romero, Luc Van Gool, Radu Timofte. [PDF] [Project] [Github], Masked Linear Regression for Learning Local Receptive Fields for Facial Expression Synthesis. Linfeng Zhang, Xin Chen, Runpei Dong, Kaisheng Ma. ICLR 2020. arxiv 2023. Jie Liang, Hui Zeng, Lei Zhang. differentiable and highly efficient. 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. GANHopper: Multi-Hop GAN for Unsupervised Image-to-Image Translation. Elad Richardson, Yuval Alaluf, Or Patashnik, Yotam Nitzan, Yaniv Azar, Stav Shapiro, Daniel Cohen-Or. Bin Ren, Hao Tang, Nicu Sebe. [PDF] A unique hashtag has the ability to make your message stand out, and. [PDF] Yaxing Wang, Hector Laria, Joost van de Weijer, Laura Lopez-Fuentes, Bogdan Raducanu. Zhiwei Jia, Bodi Yuan, Kangkang Wang, Hong Wu, David Clifford, Zhiqiang Yuan, Hao Su. 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. InstaGAN: Instance-aware Image-to-Image Translation. Latent Filter Scaling for Multimodal Unsupervised Image-To-Image Translation. World-Consistent Video-to-Video Synthesis. Flow-based Image-to-Image Translation with Feature Disentanglement. Dongyeun Lee, Jae Young Lee, Doyeon Kim, Jaehyun Choi, Junmo Kim. uses the correspondence from coarse level to guide the finer levels. Xuan Su, [PDF] Eitan Richardson, Yair Weiss. [PDF] [Unofficial] Unsupervised Multi-Modal Image Registration via Geometry Preserving Image-to-Image Translation. [PDF][Github] Taewon Kang, Soohyun Kim, Sunwoo Kim, Seungryong Kim. [PDF], RL-GAN: Transfer Learning for Related Reinforcement Learning Tasks via Image-to-Image Translation. arxiv 2019. Carlos Rodriguez-Pardo, Elena Garces arxiv 2022. Not Just Compete, but Collaborate: Local Image-to-Image Translation via Cooperative Mask Prediction. [PDF], Domain Bridge for Unpaired Image-to-Image Translation and Unsupervised Domain Adaptation. Wenqing Chu, Wei-Chih Hung, Yi-Hsuan Tsai, Yu-Ting Chang, Yijun Li, Deng Cai, Ming-Hsuan Yang. Download and unzip the results file. Everybody Dance Now. [PDF], DCMIT: Unsupervised Multi-Domain Multimodal Image-to-Image Translation with Explicit Domain-Constrained Disentanglement. [PDF], Learning to Caricature via Semantic Shape Transform. How can I correct errors in dblp? [PDF] Zhiqiang Shen, Mingyang Huang, Jianping Shi, Xiangyang Xue, Thomas S. Huang. Yi Wang, Ying-Cong Chen, Xiangyu Zhang, Jian Sun and Jiaya Jia. [PDF] [Github], Unpaired Photo-to-manga Translation Based on The Methodology of Manga Drawing. Cooper Nederhood, Nicholas Kolkin, Deqing Fu, Jason Salavon. Shawn Mathew, Saad Nadeem, Sruti Kumari, Arie Kaufman. He has since then inculcated very effective writing and reviewing culture at pythonawesome which rivals have found impossible to imitate. [PDF] [PDF] [Github], Improving Style-Content Disentanglement in 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. Kwanyong Park, Sanghyun Woo, Dahun Kim, Donghyeon Cho, In So Kweon. Andrs Romero, Pablo Arbelez, Luc Van Gool, Radu Timofte. Image Translation, Marginal Contrastive Correspondence for Guided Image Generation, Exploring Patch-wise Semantic Relation for Contrastive Learning in arxiv 2021. Hao Tang, Dan Xu, Nicu Sebe, Yan Yan. NeurIPS 2020. Semantically Robust Unpaired Image Translation for Data With Unmatched Semantics Statistics. Sanjana Sinha, Sandika Biswas, Brojeshwar Bhowmick. COCO-FUNIT: Few-Shot Unsupervised Image Translation with a Content Conditioned Style Encoder. [PDF] Reddit and its partners use cookies and similar technologies to provide you with a better experience. [PDF] [Github], iFlowGAN: An Invertible Flow-based Generative Adversarial Network For Unsupervised Image-to-Image Translation. [PDF] IJCV 2019. arxiv 2020. [PDF] [Github], Image-to-Image Translation with Low Resolution Conditioning. Aamir Mustafa, Rafal K. Mantiuk. Experiments on diverse translation tasks show that CoCosNet v2 performs considerably better than state-of-the-art literature on producing high-resolution images. arxiv 2021. [PDF] ICPR 2021. [PDF], IEGAN: Independent Encoder for Deep Hierarchical Unsupervised Image-to-Image Translation. [PDF], DiscoGAN: Learning to Discover Cross-Domain Relations with Generative Adversarial Networks. Dingdong Yang, Seunghoon Hong, Yunseok Jang, Tianchen Zhao, Honglak Lee. van der Ouderaa, Daniel E. Worrall. full resolution correspondence learning for image translation. Bridging the Gap Between Label- and Reference-Based Synthesis in Multi-Attribute Image-to-Image Translation. [PDF] [PDF] 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][Github][Project] [PDF][Project] [Github] Oren Katzir, Dani Lischinski, Daniel Cohen-Or. [PDF] Oran Gafni, Lior Wolf. Min Woo Kim, Nam Ik Cho. [PDF][Project][Github] AAAI 2019. [PDF] [PDF] [Project] [Github] At each hierarchy, the correspondence can be efficiently computed via PatchMatch that iteratively leverages . Aviv Gabbay, Yedid Hoshen. 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. Liming Jiang, Changxu Zhang, Mingyang Huang, Chunxiao Liu, Jianping Shi, Chen Change Loy. Jianxin Lin, Yijun Wang, Zhibo Chen, Tianyu He. Min Zhao, Fan Bao, Chongxuan Li, Jun Zhu. performs considerably better than state-of-the-arts on producing TUNIT: Rethinking the Truly Unsupervised Image-to-Image Translation. Taeksoo Kim, Moonsu Cha, Hyunsoo Kim, Jung Kwon Lee, Jiwon Kim. ACM MM 2019. WACV 2020. Overview Dual-Resolution Correspondence Network Dual-Resolution Correspondence Network, NeurIPS 2020 Dependency All dependencies are included in asset/dualrcnet.yml. RABIT: Bi-level Feature Alignment for Versatile Image Translation and Manipulation. ADSPM: Attribute-Driven Spontaneous Motion in Unpaired Image Translation. [PDF] [Github], Unsupervised Generative Adversarial Networks With Cross-Model Weight Transfer Mechanism for Image-to-Image Translation. Ruizheng Wu, Xin Tao, Xiaodong Gu, Xiaoyong Shen, Jiaya Jia. Sangwoo Mo, Minsu Cho, Jinwoo Shin. Wenshuang Liu, Wenting Chen, Linlin Shen. Ruho Kondo, Keisuke Kawano, Satoshi Koide, Takuro Kutsuna. Attentive Normalization for Conditional Image Generation. Tex2Shape: Detailed Full Human Body Geometry From a Single Image. [PDF] Attentive Normalization for Conditional Image Generation. Yiftach Ginger, Dov Danon, Hadar Averbuch-Elor, Daniel Cohen-Or. Lifan Zhao, Yunlong Meng, Lin Xu. TOG 2019. [PDF] [Github] . We adopt a hierarchical strategy that uses the correspondence from coarse level to guide the fine levels. ICLR 2022. IJCAI 2019. Taesung Park, Alexei A. Efros, Richard Zhang, Jun-Yan Zhu. TPAMI 2019. Fangneng Zhan, Yingchen Yu, Rongliang Wu, Jiahui Zhang, Shijian Lu, Changgong Zhang. Adversarial Self-Defense for Cycle-Consistent GANs. [PDF] ICPR 2020. Clova AI Research, NAVER Corp. GAN Compression: Efficient Architectures for Interactive Conditional GANs. Wavelet Knowledge Distillation: Towards Efficient Image-to-Image Translation. [PDF], CLADE: Rethinking Spatially-Adaptive Normalization. arxiv 2021. [PDF] [Demo] [Github] Caroline Chan, Shiry Ginosar, Tinghui Zhou, Alexei A. Efros. [PDF] [Project] We offer the keypoints detection results used in our experiment in this link. Yanwu Xu, Shaoan Xie, Wenhao Wu, Kun Zhang, Mingming Gong, Kayhan Batmanghelich. [PDF][Github] A collection of awesome resources image-to-image translation. Pre-requisite conda cr, The Official PyTorch Implementation of DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence from Box Supervision, DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence from Box Supervision The PyTorch implementation of DiscoBox: Weakly Supe, Open source projects and samples from Microsoft, KeyError: 'dataset/deepfashionHD\\img\\MEN\\Denim\\id_00000089\\02_7_additional.jpg', Pretrained model "latest_net_netCorr.pth" corrupted. [PDF], Quality Metric Guided Portrait Line Drawing Generation from Unpaired Training Data. xxx_ref.txt and xxx_ref_test.txt in other dataset. [PDF] First download the Deepfashion dataset (high resolution version) from this link. Dina Bashkirova, Ben Usman, Kate Saenko. Fast-Vid2Vid: Spatial-Temporal Compression for Video-to-Video Synthesis. 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 . Transactions on Visualizations and Computer Graphics. If you use this code for your research, please cite our papers. Dina Bashkirova, Ben Usman, Kate Saenko. In this paper, we propose a multi-feature contrastive learning method. arxiv 2020. SIGGRAPH 2022. Stefano Ermon. [PDF], U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation. CVPR 2021 Workshop. [PDF] Yiming Gao, Jiangqin Wu. Yahui Liu, Enver Sangineto, Yajing Chen, Linchao Bao, Haoxian Zhang, Nicu Sebe, Bruno Lepri, Wei Wang, Marco De Nadai. Neural Wireframe Renderer: Learning Wireframe to Image Translations. We use this model to calculate training loss. TIP 2019. Wanfeng Zheng, Qiang Li, Guoxin Zhang, Pengfei Wan, Zhongyuan Wang. ICCV 2021 Workshop on AIM. [PDF], DeepHist: Differentiable Joint and Color Histogram Layers for Image-to-Image Translation. Avishkar Saha, Oscar Mendez Maldonado, Chris Russell, Richard Bowden. CVPR 2021, oral presentation Unpaired Image Translation via Vector Symbolic Architectures. Diversity-Sensitive Conditional Generative Adversarial Networks. Translation, CFFT-GAN: Cross-domain Feature Fusion Transformer for Exemplar-based [PDF] George Cazenavette, Manuel Ladron De Guevara. full resolution correspondence learning for image translation UCTGAN: Diverse Image Inpainting Based on Unsupervised Cross-Space Translation. [PDF] SPatchGAN: A Statistical Feature Based Discriminator for Unsupervised Image-to-Image Translation. ICML 2019. [PDF] [Github] [PDF] [Github] Baran Ozaydin, Tong Zhang, Sabine Susstrunk, Mathieu Salzmann. Ming-Yu Liu, Thomas Breuel, Jan Kautz. WACV 2021. [PDF], Breaking the Dilemma of Medical Image-to-image Translation. Vector Quantized Image-to-Image Translation. The-Phuc Nguyen, Stphane Lathuilire, Elisa Ricci. Dual Transfer Learning for Event-Based End-Task Prediction via Pluggable Event to Image Translation. Main Menu Kyungjune Baek, Yunjey Choi, Youngjung Uh, Jaejun Yoo, Hyunjung Shim. The proposed CoCosNet v2, a GRU-assisted PatchMatch approach, is fully differentiable and highly efficient. We adopt a hierarchical strategy that uses the correspondence from coarse level to guide the fine levels. Gihyun Kwon, Jong Chul Ye. Xihui Liu, Guojun Yin, Jing Shao, Xiaogang Wang, Hongsheng Li. Privacy Policy. [PDF] [Project] [Github] Monday is dedicated to providing the best educational project management solution. [PDF], SAVI2I: Continuous and Diverse Image-to-Image Translation via Signed Attribute Vectors. 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. GANcraft: Unsupervised 3D Neural Rendering of Minecraft Worlds. As an Amazon Associate, we earn from qualifying purchases. [PDF], EDIT: Exemplar-Domain Aware Image-to-Image Translation. Ziwei Luo, Jing Hu, Xin Wang, Siwei Lyu, Bin Kong, Youbing Yin, Qi Song, Xi Wu. Also, welcome to refer to our CoCosNet v1: John was the first writer to have joined pythonawesome.com. 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. Self-Supervised CycleGAN for Object-Preserving Image-to-Image Domain Adaptation. Guansong Lu, Zhiming Zhou, Yuxuan Song, Kan Ren, Yong Yu. Trier > Home. June 8, 2022 full resolution correspondence learning for image translation. NICE: Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation. [PDF] Pan Zhang, Jianmin Bao, Ting Zhang, Dong Chen, Fang Wen. Oren Katzir, Dani Lischinski, Daniel Cohen-Or. [PDF], Future Urban Scenes Generation Through Vehicles Synthesis. Xiaoyu Li, Bo Zhang, Jing Liao, Pedro V. Sander. Wallace Lira, Johannes Merz, Daniel Ritchie, Daniel Cohen-Or, Hao Zhang. Authors Channel Summit. 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. [PDF] [Github], Augmented Cyclic Consistency Regularization for Unpaired Image-to-Image Translation. Deblina Bhattacharjee, Seungryong Kim, Guillaume Vizier, and Mathieu Salzmann. Zeqi Li, Ruowei Jiang,, Parham Aarabi. Rinon Gal, Or Patashnik, Haggai Maron, Gal Chechik, Daniel Cohen-Or. hey when i train the model from random weights during the training i can see some results ( every N epochs) when i run test.py with the new trained models the predictions is white background no image at all, hithans for your work,but when I torch.load() Yunjey Choi, Minje Choi, Munyoung Kim, Jung-Woo Ha, Sunghun Kim, Jaegul Choo. After following the instructions to run the test.py, the following error pops up Abstract: We present the full-resolution correspondence learning for cross-domain images, which aids image translation. [PDF], Gated SwitchGAN for multi-domain facial image translation. We use 8 32GB Tesla V100 GPUs to train the network. [PDF] [Github], Leveraging Local Domains for Image-to-Image Translation. Kai Ye, Yinru Ye, Minqiang Yang, Bin Hu. If you think I have missed out on something (or) have any suggestions (papers, implementations and other resources), feel free to pull a request. TPAMI 2020. Image-to-Image Translation Tasks, IR2VI: Enhanced Night Environmental Perception by Unsupervised Thermal Po-Wei Wu, Yu-Jing Lin, Che-Han Chang, Edward Y. Chang, Shih-Wei Liao. [PDF] [PDF], Unsupervised Multi-Modal Medical Image Registration via Discriminator-Free Image-to-Image Translation. ECCV 2022 Workshop on Learning from Limited and Imperfect Data (L2ID). [Github], CrossNet: Latent Cross-Consistency for Unpaired Image Translation. Ziyu Wan, Bo Zhang, Dongdong Chen, Pan Zhang, Dong Chen, Jing Liao, Fan Wen. [PDF], DosGAN: Exploring Explicit Domain Supervision for Latent Space Disentanglement in Unpaired Image-to-Image Translation. Samet Hicsonmez, Nermin Samet, Emre Akbas, Pinar Duygulu. Lai Jiang, Mai Xu, Xiaofei Wang, Leonid Sigal. [PDF][Github] Hsin-Ying Lee, Hung-Yu Tseng, Qi Mao, Jia-Bin Huang, Yu-Ding Lu, Maneesh Singh, Ming-Hsuan Yang. Nazar Khan, Arbish Akram, Arif Mahmood, Sania Ashraf, Kashif Murtaza. Zili Yi, Hao Zhang, Ping Tan, Minglun Gong. Wonwoong Cho, Seunghwan Choi, Junwoo Park, David Keetae Park, Tao Qin, Jaegul Choo. Wen Liu, Zhixin Piao, Zhi Tu, Wenhan Luo, Lin Ma, Shenghua Gao. arxiv 2020. Junyoung Seo, Gyuseong Lee, Seokju Cho, Jiyoung Lee, Seungryong Kim. Soohyun Kim, Jongbeom Baek, Jihye Park, Gyeongnyeon Kim, Seungryong Kim. [PDF], Translating Images into Maps. [PDF] [PDF] [Github], Single Image Texture Translation for Data Augmentation.