full resolution correspondence learning for image translation full resolution correspondence learning for image translation

Unsupervised Image-to-Image Translation with Generative Prior. [PDF] [GitHub] Junyoung Seo, Gyuseong Lee, Seokju Cho, Jiyoung Lee, Seungryong Kim. arxiv 2022. For examp ACM MM 2019. [PDF], Mocycle-GAN: Unpaired Video-to-Video Translation. 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.". [PDF] [Project] [Github], Liquid Warping GAN with Attention: A Unified Framework for Human Image Synthesis. Jianxin Lin, Zhibo Chen, Yingce Xia, Sen Liu, Tao Qin, Jiebo Luo. [PDF] [Github], MIDMs: Matching Interleaved Diffusion Models for Exemplar-based Image Translation. Jaewoong Choi, Daeha Kim, Byung Cheol Song. Jianxin Lin, Yingce Xia, Yijun Wang, Tao Qin, Zhibo Chen. At each hierarchy, the correspondence can be efficiently computed via PatchMatch that iteratively leverages the matchings from the neighborhood. Homomorphic Latent Space Interpolation for Unpaired Image-To-Image Translation. full resolution correspondence learning for image translation 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. [PDF], Controllable Image-to-Video Translation: A Case Study on Facial Expression Generation. [PDF] [arxiv] [project] [PDF] [Github], GeneGAN: Learning Object Transfiguration and Attribute Subspace from Unpaired Data. Our method is a one-sided mapping method for unpaired image-to-image translation, considering enhancing the performance of the generator and discriminator. year = {2021}, [PDF] [PDF] 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. ReversibleGANs for Memory-Efficient ImageTo Image Translation. Run the following command for training from scratch. [PDF], FairfaceGAN: Fairness-aware Facial Image-to-Image Translation. @InProceedings{Zhou_2021_CVPR, Download and unzip the results file. isd194 staff calendar. Samuel Lavoie-Marchildon, Sebastien Lachapelle, Mikoaj Bikowski, Aaron Courville, Yoshua Bengio, R Devon Hjelm. [PDF] performs considerably better than state-of-the-arts on producing Wish You Were Here: Context-Aware Human Generation. Robin Rombach, Patrick Esser, Bjrn Ommer. Experiments on diverse translation tasks show that CoCosNet v2 performs considerably better than state-of-the-art literature on producing high-resolution images. (Deepfashion dataset) - "Full-Resolution Correspondence Learning for Image Translation" We adopt a hierarchical strategy that uses the correspondence from coarse level to guide the fine levels. Xingran Zhou, Bo Zhang, Ting Zhang, Pan Zhang, Jianmin Bao, Dong Chen, Zhongfei Zhang, Fang Wen, Full-Resolution Correspondence Learning for Image Translation. SMIS: Semantically Multi-modal Image Synthesis. Specifically, we formulate a diffusion-based matching-and-generation framework that interleaves cross-domain matching and diffusion steps in the latent space by iteratively feeding the intermediate warp into the noising process and denoising it to generate a translated image. 1st row: exemplar images, 2nd row: generated images. How can I correct errors in dblp? We also thank SPADE and RAFT. [PDF] [Github] [PDF] [Github] [Project], Semantically Adaptive Image-to-image Translation for Domain Adaptation of Semantic Segmentation. Nevertheless, finding a definition of what is aesthetic is not [Github] [PDF], DTN: Unsupervised Cross-Domain Image Generation. CVPR 2018. Download them all and move below the folder data/. arxiv 2022. [PDF] [Github] SPatchGAN: A Statistical Feature Based Discriminator for Unsupervised Image-to-Image Translation. hierarchy, the correspondence can be efficiently computed via PatchMatch that [PDF] [PDF] [Github] Unsupervised Video-to-Video Translation. [PDF] [Project] [Github] [Data] full resolution correspondence learning for image translation. Dina Bashkirova, Ben Usman, Kate Saenko. 0,00 full resolution correspondence learning for image translation . CoCosNet: Cross-domain Correspondence Learning for Exemplar-based Image Translation. Run the following command for training from scratch. Few-shot Image Generation via Cross-domain Correspondence. the historic estimates. [PDF][Github] " Full-Resolution Correspondence Learning for Image Translation ", 2021 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2021 Oral, best paper candidate) . XingGAN for Person Image Generation. TPAMI 2021. Note the file name is img_highres.zip. [PDF] [PDF] We present the full-resolution correspondence learning for cross-domain images, which aids image translation. Yi Wang, Ying-Cong Chen, Xiangyu Zhang, Jian Sun and Jiaya Jia. Zhentao Tan, Menglei Chai, Dongdong Chen, Jing Liao, Qi Chu, Lu Yuan, Sergey Tulyakov, Nenghai Yu. IJCNN 2019. Cooper Nederhood, Nicholas Kolkin, Deqing Fu, Jason Salavon. Hanbit Lee, Jinseok Seol, Sang-goo Lee. An error has occurred [PDF], Few-shot Semantic Image Synthesis Using StyleGAN Prior. LEED: Label-Free Expression Editing via Disentanglement. Feedback and contributions are welcome! 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. Po-Wei Wu, Yu-Jing Lin, Che-Han Chang, Edward Y. Chang, Shih-Wei Liao. Zeqi Li, Ruowei Jiang,, Parham Aarabi. arxiv 2023. WCVA 2021 Workshop at ICVGIP. arxiv 2021. [PDF] NeurIPS 2016 Workshop on Adversarial Training. Yunfei Liu, Haofei Wang, Yang Yue, Feng Lu. Badour AlBahar, Jia-Bin Huang. The proposed CoCosNet v2, a GRU-assisted PatchMatch approach, is fully differentiable and highly efficient. Everybody Dance Now. [PDF] Lifan Zhao, Yunlong Meng, Lin Xu. Wanfeng Zheng, Qiang Li, Guoxin Zhang, Pengfei Wan, Zhongyuan Wang. BMVC 2020. DSI2I: Dense Style for Unpaired Image-to-Image Translation. ICPR 2020. [PDF] [Github], Fader Networks: Manipulating Images by Sliding Attributes. Diverse Image Generation via Self-Conditioned GANs..[PDF] [Project] [Github] Bin Ren, Hao Tang, Yiming Wang, Xia Li, Wei Wang, Nicu Sebe. Dongyeun Lee, Jae Young Lee, Doyeon Kim, Jaehyun Choi, Junmo Kim. ICLR 2020. 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". Yaniv Taigman, Adam Polyak, Lior Wolf. June 8, 2022 full resolution correspondence learning for image translation. CVPR 2018. 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. The inference results are saved in the folder checkpoints/deepfashionHD/test. [PDF] arxiv 2020. [PDF] [Github], Improving Style-Content Disentanglement in Image-to-Image Translation. [PDF] [Github], Exploiting Time-Series Image-to-Image Translation to Expand the Range of Wildlife Habitat Analysis. Vignesh Srinivasan, Klaus-Robert Mller, Wojciech Samek, Shinichi Nakajima. Justin Theiss, Jay Leverett, Daeil Kim, Aayush Prakash. Grigory Antipov, Moez Baccouche, Jean-Luc Dugelay. Self-Supervised CycleGAN for Object-Preserving Image-to-Image Domain Adaptation. 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 models, vid2vid Project | YouTube(short) | YouTube(full) | arXiv | Paper(full) Pytorch implementation for high-resolution (e.g., 2048x1024) photorealistic vid, arXiv Dual Contrastive Learning Adversarial Generative Networks (DCLGAN) We provide our PyTorch implementation of DCLGAN, which is a simple yet powerf, Boosting Monocular Depth Estimation Models to High-Resolution via Content-Adaptive Multi-Resolution Merging This repository contains an implementation, Official implementation of GOCor This is the official implementation of our paper : GOCor: Bringing Globally Optimized Correspondence Volumes into You, COTR: Correspondence Transformer for Matching Across Images This repository contains the inference code for COTR. [Project] [Github] [PDF], IcGAN: Invertible Conditional GANs for Image Editing. Mor Avi-Aharon, Assaf Arbelle, Tammy Riklin Raviv. We present a general framework for exemplar-based image . [PDF] [Github] Mohamed Abderrahmen Abid, Ihsen Hedhli, Jean-Franois Lalonde, Christian Gagne. Shawn Mathew, Saad Nadeem, Sruti Kumari, Arie Kaufman. Aviv Gabbay, Yedid Hoshen. Activating mini sunpass. IJCV 2019. We offer the keypoints detection results used in our experiment in this link. arxiv 2020. Domain Adaptive Image-to-image Translation. ICCV 2017. 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. I2SB: Image-to-Image Schrdinger Bridge. With a comprehensive array of features and a user-friendly platform, Monday aims to support teachers, directors, and students in delivering and receiving the best education possible. by each author's copyright. arxiv 2020. IJCNN 2020. uses the correspondence from coarse level to guide the finer levels. Zak Murez, Soheil Kolouri, David Kriegman, Ravi Ramamoorthi, Kyungnam Kim.. instance.initialize(opt) [PDF] [Project], StyleFlow For Content-Fixed Image to Image Translation. In each hierarchy, the correspondence can be efficiently computed via PatchMatch that iteratively leverages the matchings from the neighborhood. Unsupervised Image to Sequence Translation with Canvas-Drawer Networks. [PDF] [Github], The Surprising Effectiveness of Linear Unsupervised Image-to-Image Translation. Shuai Yang, Liming Jiang, Ziwei Liu, Chen Change Loy. 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() Ibrahim Batuhan Akkaya, Ugur Halici. This code borrows heavily from CocosNet and DeepPruner. [PDF] [GIthub], Cross-Domain Cascaded Deep Feature Translation. [PDF] Select the boxes below to learn more details about tolls. TIP 2021. 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. Informative Sample Mining Network for Multi-Domain Image-to-Image Translation. (we used Pytorch 1.7.0 in our experiments). ADSPM: Attribute-Driven Spontaneous Motion in Unpaired Image Translation. Ming-Yu Liu, Thomas Breuel, Jan Kautz. [PDF], Fix the Noise: Disentangling Source Feature for Transfer Learning of StyleGAN. IrwGAN: Unaligned Image-to-Image Translation by Learning to Reweight. Jiaming Song, Wen Liu, Zhixin Piao, Zhi Tu, Wenhan Luo, Lin Ma, Shenghua Gao. full resolution correspondence learning for image translation. [PDF], Unsupervised multi-modal Styled Content Generation. Trier > Home. [PDF] [Github], DEEPSim: Deep Single Image Manipulation. [PDF] [Github], DRIT++: Diverse Image-to-Image Translation via Disentangled Representations. If the password is necessary, please contact this link to access the dataset. GAN-Based Unpaired Chinese Character Image Translation via Skeleton Transformation and Stroke Rendering. [PDF] [Github], Unpaired Photo-to-manga Translation Based on The Methodology of Manga Drawing. 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. Download the pretrained VGG model from this link, move it to vgg/ folder. Enjoy Your Editing: Controllable GANs for Image Editing via Latent Space Navigation. Md Mahfuzur Rahman Siddiquee, Zongwei Zhou, Nima Tajbakhsh, Ruibin Feng, Michael B. Gotway, Yoshua Bengio, Jianming Liang. Xinyang Li, Shengchuan Zhang, Jie Hu, Liujuan Cao, Xiaopeng Hong, Xudong Mao, Feiyue Huang, Yongjian Wu, Rongrong Ji. We adopt a hierarchical strategy that uses the correspondence from the coarse level to guide the finer levels. [PDF][Project] [Unofficial] Multi-mapping Image-to-Image Translation via Learning Disentanglement. TransGaGaGeometry-Aware Unsupervised Image To Image Translation. At each hierarchy, the correspondence can be efficiently computed via PatchMatch that iteratively leverages the . [PDF] [Project] [Github] Peiye Zhuang, Oluwasanmi Koyejo, Alexander G. Schwing. Alessandro Simoni, Luca Bergamini, Andrea Palazzi, Simone Calderara, Rita Cucchiara. Closing the Loop: Joint Rain Generation and Removal via Disentangled Image Translation. [PDF] [Github] [PDF], ITTR: Unpaired Image-to-Image Translation with Transformers. [PDF][Github] ForkGAN: Seeing into the Rainy Night. [PDF] I'm planning a future in-depth post with an image processing/deep learning expert, where we'll be getting into the weeds Runfa Chen, Wenbing Huang, Binghui Huang, Fuchun Sun, Bin Fang. [PDF] [Project] [Github] ICCV Workshop 2021. unsupervised manner, which in turn facilitates the exemplar-based image All persons copying this information are expected to adhere to the terms and constraints invoked File "train.py", line 21, in [PDF], A Novel Framework for Image-to-image Translation and Image Compression. Lai Jiang, Mai Xu, Xiaofei Wang, Leonid Sigal. [PDF] [PDF], Image-to-Image Translation: Methods and Applications. [PDF] [Project] [Github] Within each (2021) Dagstuhl. Long Zhuo, Guangcong Wang, Shikai Li, Wayne Wu, Ziwei Liu. arxiv 2020. [PDF][Project][Github] Kevin Frans, Chin-Yi Cheng. Tycho F.A. Cooper Nederhood, Nicholas Kolkin, Deqing Fu, Jason Salavon. Seokbeom Song, Suhyeon Lee, Hongje Seong, Kyoungwon Min, Euntai Kim. Dina Bashkirova, Ben Usman, Kate Saenko. [PDF], Unpaired Image-to-Image Translation via Latent Energy Transport. EGSDE: Unpaired Image-to-Image Translation via Energy-Guided Stochastic Differential Equations. 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. arixv 2020. [PDF] dataloader = data.create_dataloader(opt) Jiaze Sun, Binod Bhattarai, Tae-Kyun Kim. arxiv 2021. [PDF]. If you use this code for your research, please cite our papers. TOG 2019. We present the full-resolution correspondence learning for cross-domain images, which aids image translation. Rinon Gal, Or Patashnik, Haggai Maron, Gal Chechik, Daniel Cohen-Or. Ziqiang Zheng, Yang Wu, Xinran Han, Jianbo Shi. Does this mean the pth file was corrupted? Kaihong Wang, Kumar Akash, Teruhisa Misu. [PDF] [GitHub] Experiments on diverse translation tasks show our approach performs considerably better than state-of-the-arts on producing high-resolution . [PDF] [PDF] [Github], Stochastic Actor-Executor-Critic for Image-to-Image Translation. Stop the war! Image and Vision Computing 2020. [PDF], Unpaired Image Translation via Adaptive Convolution-based Normalization. Ben Usman, Nick Dufour, Kate Saenko, Chris Bregler. [PDF] [Github], PI-Trans: Parallel-ConvMLP and Implicit-Transformation Based GAN for Cross-View Image Translation. We adopt a hierarchical strategy that uses the correspondence from coarse level to guide the fine levels. [PDF] [PDF] [Github] ICLR 2023. Zheng Ding, Yifan Xu, Weijian Xu, Gaurav Parmar, Yang Yang, Max Welling, Zhuowen Tu. (oral) HiSD: Image-to-image Translation via Hierarchical Style Disentanglement. arxiv 2022. [PDF], ISF-GAN: An Implicit Style Function for High-Resolution Image-to-Image Translation. Xingran Zhou, Bo Zhang, Ting Zhang, Pan Zhang, Jianmin Bao, Dong Chen, Zhongfei Zhang, Fang Wen. [PDF], I2V-GAN: Unpaired Infrared-to-Visible Video Translation. LPTN: High-Resolution Photorealistic Image Translation in Real-Time: A Laplacian Pyramid Translation Network. Wenju Xu, Guanghui Wang. Ori Nizan, Ayellet Tal. [PDF], Beyond a Video Frame Interpolator: A Space Decoupled Learning Approach to Continuous Image Transition. [pdf] [Github] [Supplement] [PDF] [Github], BalaGAN: Image Translation Between Imbalanced Domains via Cross-Modal Transfer. Jianxin Lin, Yingxue Pang, Yingce Xia, Zhibo Chen, Jiebo Luo. STEFANN: Scene Text Editor using Font Adaptive Neural Network. Yael Vinker, Eliahu Horwitz, Nir Zabari, Yedid Hoshen. [PDF] Moab Arar, Yiftach Ginger, Dov Danon, Amit H. Bermano, Daniel Cohen-Or. [PDF] [Github] Daejin Kim, Mohammad Azam Khan, Jaegul Choo. [PDF] [Github] [PDF], Gated SwitchGAN for multi-domain facial image translation. NeurIPS 2017. The codes and the pretrained model in this repository are under the MIT license as specified by the LICENSE file. Hao Su, Jianwei Niu, Xuefeng Liu, Qingfeng Li, Jiahe Cui, Ji Wan. [PDF] [Project] [Github] Go From the General to the Particular: Multi-Domain Translation with Domain Transformation Networks. [accepted paper list] [PDF] [Supplementary PDF] [Github], CartoonRenderer: An Instance-based Multi-Style Cartoon Image Translator. [PDF] [Github], Unsupervised Image-to-Image Translation via Pre-trained StyleGAN2 Network. Download the pretrained model from this link. TPAMI 2022. We adopt a hierarchical strategy that uses the correspondence from coarse level to guide the fine levels. Liyun Zhang, Photchara Ratsamee, Bowen Wang, Zhaojie Luo, Yuki Uranishi, Manabu Higashida, Haruo Takemura. Yiftach Ginger, Dov Danon, Hadar Averbuch-Elor, Daniel Cohen-Or. [PDF] [GitHub] [Tensorflow] [AFHQ Data] Siyuan Li, Semih Gnel, Mirela Ostrek, Pavan Ramdya, Pascal Fua, Helge Rhodin. 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. In each (oral) CoMoGAN: Continuous Model-guided Image-to-image Translation. PISE: Person Image Synthesis and Editing with Decoupled GAN. ADGAN: Controllable Person Image Synthesis with Attribute-Decomposed GAN. [PDF] [Github], Neural Photometry-guided Visual Attribute Transfer. Multi-Channel Attention Selection GAN With Cascaded Semantic Guidance for Cross-View Image Translation. For more information see the Code of Conduct FAQ or contact [emailprotected] with any additional questions or comments. TOG 2020. [PDF] [Project], The Swiss Army Knife for Image-to-Image Translation: Multi-Task Diffusion Models. Or Patashnik, Dov Danon, Hao Zhang, Daniel Cohen-Or. python test.py --name deepfashionHD --dataset_mode deepfashionHD --dataroot dataset/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, running "Inference Using Pretrained Model" ,but I get an error like the one below. Style-Guided and Disentangled Representation for Robust Image-to-Image Translation. Unsupervised Image-to-Image Translation with Density Changing Regularization. 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. Zili Yi, Hao Zhang, Ping Tan, Minglun Gong. Scroll through all of the Frequently Asked Questions to see if any of them pertain to your complaint and click the. Raul Gomez, Yahui Liu, Marco De Nadai, Dimosthenis Karatzas, Bruno Lepri, Nicu Sebe. Omry Sendik, Dani Lischinski, Daniel Cohen-Or. Developing shipment plans as per product availability and request from customers. Note the file name is img_highres.zip. [PDF] Experiments on diverse translation tasks show that CoCosNet v2 performs considerably better than state-of-the-art literature on producing high-resolution images. van der Ouderaa, Daniel E. Worrall. BMVC 2017. TransferI2I: Transfer Learning for Image-to-Image Translation From Small Datasets. Download them all and move below the folder data/. Now the the directory structure is like: The inference results are saved in the folder checkpoints/deepfashionHD/test. Ruobing Zheng, Ze Luo, Baoping Yan. [PDF] 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. NeurIPS 2021. A Closed-Form Solution to Universal Style Transfer. arxiv 2020. 10 25 Australia Oceania Place 25 comments Best kalmia440 4 yr. Yahui Liu, Marco De Nadai, Deng Cai, Huayang Li, Xavier Alameda-Pineda, Nicu Sebe, Bruno Lepri. However the primary functions of a logistics officer are listed below: Carry out packing, crating, and warehousing, and storage duties in preparation for site-specific program and shipment. Jie Cao, Luanxuan Hou, Ming-Hsuan Yang, Ran He, Zhenan Sun. Abstract: A huge number of publications are devoted to aesthetic emotions; Google Scholar gives 319,000 references. awesome image-to-image translation A collection of resources on image-to-image translation. [PDF] [Github] Yaxing Wang, Joost van de weijer, Lu Yu, Shangling Jui. By rejecting non-essential cookies, Reddit may still use certain cookies to ensure the proper functionality of our platform. ACM MM 2019. Xiaoyu Li, Bo Zhang, Jing Liao, Pedro V. Sander. Gihyun Kwon, Jong Chul Ye. Fine-grained Image-to-Image Transformation towards Visual Recognition. ICPR 2021. Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation to Disease Detection and Localization. We adopt a hierarchical strategy that uses the correspondence from coarse level to guide the fine levels. Feedback and contributions are welcome! Experiments on diverse translation tasks show that CoCosNet v2 performs considerably better than state-of-the-art literature on producing high-resolution images. Nick Lawrence, Mingren Shen, Ruiqi Yin, Cloris Feng, Dane Morgan. [PDF] ./dataset/deepfashionHD/pose\MEN\Denim\id_00000089\02_7_additional_candidate.txt not found. TUNIT: Rethinking the Truly Unsupervised Image-to-Image Translation. TMM 2021. [Project] [Github] [pytorch-CycleGAN-and-pix2pix] [PDF], BicycleGAN: Toward Multimodal Image-to-Image Translation. Elad Richardson, Yuval Alaluf, Or Patashnik, Yotam Nitzan, Yaniv Azar, Stav Shapiro, Daniel Cohen-Or. Computer Vision and Pattern Recognition (CVPR oral), 2021. [PDF], Domain Bridge for Unpaired Image-to-Image Translation and Unsupervised Domain Adaptation. [PDF][Github] [PDF] Ziwei Luo, Jing Hu, Xin Wang, Siwei Lyu, Bin Kong, Youbing Yin, Qi Song, Xi Wu. [PDF] [Video] [Github] Learning to Transfer: Unsupervised Domain Translation via Meta-Learning. Junho Kim, Minjae Kim, Hyeonwoo Kang, Kwanghee Lee. [PDF] [Github], Show, Attend and Translate: Unsupervised Image Translation with Self-Regularization and Attention. correspondence considering not only the matchings of larger context but also Finally create the root folder deepfashionHD, and move the folders img and pose below it. #animeart hashtag on Instagram Photos and Videos.