Shani Gamrian, Yoav Goldberg. [PDF] [Project] [Github] [Data] [PDF] [Github] IrwGAN: Unaligned Image-to-Image Translation by Learning to Reweight. Joonyoung Song, Jong Chul Ye. [PDF] [Github], DEEPSim: Deep Single Image Manipulation. Wonwoong Cho, Seunghwan Choi, Junwoo Park, David Keetae Park, Tao Qin, Jaegul Choo. [PDF] [Github], GeneGAN: Learning Object Transfiguration and Attribute Subspace from Unpaired Data. Justin Theiss, Jay Leverett, Daeil Kim, Aayush Prakash. ASAPNet: Spatially-Adaptive Pixelwise Networks for Fast Image Translation. Jianxin Lin, Zhibo Chen, Yingce Xia, Sen Liu, Tao Qin, Jiebo Luo. CVPR 2021 Workshop. [PDF] [PDF] [Project] [Github] [PDF], DiffGAR: Model-Agnostic Restoration from Generative Artifacts Using Image-to-Image Diffusion Models. Xuning Shao, Weidong Zhang. [PDF] [Project] [Github] Mohamed Abderrahmen Abid, Ihsen Hedhli, Jean-Franois Lalonde, Christian Gagne. Prajwal Renukanand, Rudrabha Mukhopadhyay, Jerin Philip, Abhishek Jha, Vinay Namboodiri and C.V. Jawahar. [PDF] ICCV 2019 Workshops. Prasun Roy, Saumik Bhattacharya, Subhankar Ghosh, Umapada Pal. Or fastest delivery Wed, Nov 2. arxiv 2020. Longquan Dai, Jinhui Tang. CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation. Zhen Zhu, Zhiliang Xu, Ansheng You, Xiang Bai. [PDF] [TOG 2020 Papers On The Web], MichiGAN: Multi-Input-Conditioned Hair Image Generation for Portrait Editing. Utkarsh Ojha, Yijun Li, Jingwan Lu, Alexei A. Efros, Yong Jae Lee, Eli Shechtman, Richard Zhang. Wanfeng Zheng, Qiang Li, Guoxin Zhang, Pengfei Wan, Zhongyuan Wang. TOG 2021. [Github] [PDF], Face-Age-cGAN: Face Aging With Conditional Generative Adversarial Networks. Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation. uses the correspondence from coarse level to guide the finer levels. arixv 2020. We use 8 32GB Tesla V100 GPUs to train the network. You can set batchSize to 16, 8 or 4 with fewer GPUs and change gpu_ids. [PDF] arxiv 2021. [PDF] [Github], LSC-GAN: Latent Style Code Modeling for Continuous Image-to-image Translation. XingGAN for Person Image Generation. [PDF], A Novel Application of Image-to-Image Translation: Chromosome Straightening Framework by Learning from a Single Image. The inference results are saved in the folder checkpoints/deepfashionHD/test. For more information, FAU Implementation of the paper: Facial Action Unit Intensity Estimation via Semantic Correspondence Learning with Dynamic Graph Convolution. Semantically Robust Unpaired Image Translation for Data With Unmatched Semantics Statistics. sinners in the hands of an angry god analysis worksheet / bacnet object types table / bacnet object types table Wenshuang Liu, Wenting Chen, Linlin Shen. Lijie Fan, Wenbing Huang, Chuang Gan, Junzhou Huang, Boqing Gong. [PDF] [PDF] [Project] [Video], BlendGAN: Implicitly GAN Blending for Arbitrary Stylized Face Generation. Ruobing Zheng, Ze Luo, Baoping Yan. [PDF] [PDF][Github] The full-resolution correspondence is learned hierarchically, where the low-resolution result serves as the initialization for the next level. You can set batchSize to 16, 8 or 4 with fewer GPUs and change gpu_ids. We use this model to calculate training loss. Gihyun Kwon, Jong Chul Ye. ACM MM 2019. [PDF] [Github] Yong Wang, Longyue Wang, Shuming Shi, Victor Li, Zhaopeng Tu. Peiye Zhuang, Oluwasanmi Koyejo, Alexander G. Schwing. [PDF] [Github] }. We present the full-resolution correspondence learning for cross-domain images, which aids image translation. Dominik Rivoir, Micha Pfeiffer, Reuben Docea, Fiona Kolbinger, Carina Riediger, Jrgen Weitz, Stefanie Speidel. Liqian Ma, Zhe Lin, Connelly Barnes, Alexei A. Efros, Jingwan Lu. [PDF], DeepI2I: Enabling Deep Hierarchical Image-to-Image Translation by Transferring from GANs. 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. TOG 2019. GANHopper: Multi-Hop GAN for Unsupervised Image-to-Image Translation. [PDF] differentiable and highly efficient. arxiv 2021. Ali Koksal, Shijian Lu. [pdf] [Supplement] python train. BMVC 2020. TSIT: A Simple and Versatile Framework for Image-to-Image Translation. [PDF][Project] [Unofficial] [PDF] [Project] [Github], Distilling GANs with Style-Mixed Triplets for X2I Translation with Limited Data. [PDF] [Github], ZUNIT: Toward Zero-Shot Unsupervised Image-to-Image Translation. DiffusionCLIP: Text-Guided Diffusion Models for Robust Image Manipulation. Fei Yang, Yaxing Wang, Luis Herranz, Yongmei Cheng, Mikhail Mozerov. [PDF] self.ref_dict, self.train_test_folder = self.get_ref(opt) instance.initialize(opt) Detection. Flow-based Image-to-Image Translation with Feature Disentanglement. [PDF][Github][Project] Zekang Chen, Jia Wei, Rui Li. [PDF] [Project] [PDF], Graph2Pix: A Graph-Based Image to Image Translation Framework. Samuel Lavoie-Marchildon, Sebastien Lachapelle, Mikoaj Bikowski, Aaron Courville, Yoshua Bengio, R Devon Hjelm. Learning to Transfer: Unsupervised Domain Translation via Meta-Learning. Matthew Amodio, Smita Krishnaswamy. Tycho F.A. [PDF] IJCAI 2022. [PDF] [Github] [Project] (2021) Dagstuhl. Today's best Sunpass Coupon Code: See All Sunpass's Best-seller. We adopt a hierarchical strategy that uses the correspondence from coarse level to guide the fine levels. [PDF] [PDF] Unsupervised Image to Sequence Translation with Canvas-Drawer Networks. revolution racegear adelaide . [PDF] [Project] [Github] Experiments on diverse translation tasks show that CoCosNet v2 performs considerably better than state-of-the-art literature on producing high-resolution images. " Full-Resolution Correspondence Learning for Image Translation ", 2021 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2021 Oral, best paper candidate) . Oren Katzir, Dani Lischinski, Daniel Cohen-Or. [PDF], Contrastive Learning for Unsupervised Image-to-Image Translation. TOG 2020. Rui Zhang, Tomas Pfister, Jia Li. Elad Richardson, Yuval Alaluf, Or Patashnik, Yotam Nitzan, Yaniv Azar, Stav Shapiro, Daniel Cohen-Or. [PDF] Ivan Anokhin, Pavel Solovev, Denis Korzhenkov, Alexey Kharlamov, Taras Khakhulin, Gleb Sterkin, Alexey Silvestrov, Sergey Nikolenko, Victor Lempitsky. At each hierarchy, the correspondence can be efficiently computed via PatchMatch that iteratively leverages the . Panoptic-Aware Image-to-Image Translation. Deblina Bhattacharjee, Seungryong Kim, Guillaume Vizier, and Mathieu Salzmann. [PDF], I2V-GAN: Unpaired Infrared-to-Visible Video Translation. Memory-guided Unsupervised Image-to-image Translation. [PDF][Github][Project] Yuan Xue, Zihan Zhou, Xiaolei Huang. Style-Guided and Disentangled Representation for Robust Image-to-Image Translation. Yuval Alaluf, Or Patashnik, Daniel Cohen-Or. Fabio Pizzati, Pietro Cerri, Raoul de Charette. Helisa Dhamo, Azade Farshad, Iro Laina, Nassir Navab, Gregory D. Hager, Federico Tombari, Christian Rupprecht. title = {CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation}, [PDF], Mocycle-GAN: Unpaired Video-to-Video Translation. In each hierarchy, the correspondence can be efficiently computed via PatchMatch that iteratively leverages the matchings from the neighborhood. [PDF] Pan Zhang, Bo Zhang, Dong Chen, Lu Yuan, Fang Wen. The proposed CoCosNet v2, a GRU-assisted PatchMatch approach, is fully differentiable and highly efficient. [PDF] 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. Paper | Slides Abstract Applications of virtual reality include entertainment (particularly video games), education (such as medical or military training) and business (such as virtual meetings).Other distinct types of VR-style technology include augmented reality . Ming-Yu Liu, Xun Huang, Arun Mallya, Tero Karras, Timo Aila, Jaakko Lehtinen, Jan Kautz. RuntimeError: [enforce fail at C:\cb\pytorch_1000000000000\work\caffe2\serialize\inline_container.cc:231] . [PDF] [Github], Show, Attend and Translate: Unsupervised Image Translation with Self-Regularization and Attention. ICPR 2020. Since the original resolution of DeepfashionHD is 750x1101, we use a Python script to process the images to the resolution 512x512. [PDF][Github] [PDF], EDIT: Exemplar-Domain Aware Image-to-Image Translation. Tianyu He, Yingce Xia, Jianxin Lin, Xu Tan, Di He, Tao Qin, Zhibo Chen. [PDF] [Github] Konstantinos Vougioukas, Stavros Petridis, Maja Pantic. We offer the keypoints detection results used in our experiment in this link. BMVC 2021 (Oral). Reference-Based Sketch Image Colorization using Augmented-Self Reference and Dense Semantic Correspondence. Go From the General to the Particular: Multi-Domain Translation with Domain Transformation Networks. Taewon Kang, Soohyun Kim, Sunwoo Kim, Seungryong Kim. Jie Cao, Huaibo Huang, Yi Li, Ran He, Zhenan Sun. Weihao Xia, Yujiu Yang, Jing-Hao Xue. arxiv 2022. Arnab Ghosh, Richard Zhang, Puneet K. Dokania, Oliver Wang, Alexei A. Efros, Philip H. S. Torr, Eli Shechtman. [PDF] Jiaming Song, [PDF], IEGAN: Independent Encoder for Deep Hierarchical Unsupervised Image-to-Image Translation. [PDF], FairfaceGAN: Fairness-aware Facial Image-to-Image Translation. Enjoy Your Editing: Controllable GANs for Image Editing via Latent Space Navigation. Fleet, Mohammad Norouzi. CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation. [PDF] [Github], Stochastic Actor-Executor-Critic for Image-to-Image Translation. Samet Hicsonmez, Nermin Samet, Emre Akbas, Pinar Duygulu. Taesung Park, Alexei A. Efros, Richard Zhang, Jun-Yan Zhu. Shuai Yang, Liming Jiang, Ziwei Liu, Chen Change Loy. The proposed CoCosNet v2, a GRU-assisted PatchMatch approach, is fully differentiable and highly efficient. [PDF], Breaking the Dilemma of Medical Image-to-image Translation. [Github] [PDF]. At each hierarchy, the correspondence can be efficiently computed via PatchMatch that iteratively leverages the matchings from the neighborhood. Yihao Zhao, Ruihai Wu, Hao Dong. Tristan Bepler, Ellen Zhong, Kotaro Kelley, Edward Brignole, Bonnie Berger.*. Che-Tsung Lin, Yen-Yi Wu, Po-Hao Hsu, Shang-Hong Lai. Vector Quantized Image-to-Image Translation. [PDF] [Github], Image-to-Image Translation with Low Resolution Conditioning. How can I correct errors in dblp? Lifan Zhao, Yunlong Meng, Lin Xu. Trier > Home. Download the pretrained model from this link. Junlin Han, Mehrdad Shoeiby, Lars Petersson, Mohammad Ali Armin. [PDF] [Github], Exploring Generative Adversarial Networks for Image-to-Image Translation in STEM Simulation. Xihui Liu, Guojun Yin, Jing Shao, Xiaogang Wang, Hongsheng Li. Gihyun Kwon, Jong Chul Ye. [PDF] [Github], AniGAN: Style-Guided Generative Adversarial Networks for Unsupervised Anime Face Generation. [PDF], Identity-Preserving Realistic Talking Face Generation. [PDF] [Github], Exploiting Time-Series Image-to-Image Translation to Expand the Range of Wildlife Habitat Analysis. Experiments on diverse translation tasks show that CoCosNet v2 performs considerably better than state-of-the-art literature on producing high-resolution images. [PDF] Content provided by Bo Zhang, the co-author of the paper Cross-domain Correspondence Learning for Exemplar-based Image Translation. deepfashion_ref.txt, deepfashion_ref_test.txt and deepfashion_self_pair.txt are the paring lists used in our experiment. TIP 2021. arxiv 2019. [PDF] [Project] [Github], Dual Contrastive Learning for Unsupervised Image-to-Image Translation. Ying-Cong Chen, Xiaogang Xu, Zhuotao Tian, Jiaya Jia. Note train.txt and val.txt are our train-val lists. [PDF] [Project] [Github] All persons copying this information are expected to adhere to the terms and constraints invoked WACV 2021. Full-Resolution Correspondence Learning for Image Translation." help us. As an Amazon Associate, we earn from qualifying purchases. [PDF] [Github] full resolution correspondence learning for image translation. Wayne Wu, Kaidi Cao, Cheng Li, Chen Qian, Chen Change Loy. View TikTik videos for #anime Overal Posts 2. Liqian Ma, Xu Jia, Stamatios Georgoulis, Tinne Tuytelaars, Luc Van Gool. Context enhancement is critical for night vision (NV) applications, Fast-Vid2Vid: Spatial-Temporal Compression for Video-to-Video Synthesis. Can you provide configuration files for the other datasets mentioned in the paper? We use OpenPose to estimate pose of DeepFashion(HD). Sai Bi, Kalyan Sunkavalli, Federico Perazzi, Eli Shechtman, Vladimir G. Kim, Ravi Ramamoorthi. Xinyang Li, Shengchuan Zhang, Jie Hu, Liujuan Cao, Xiaopeng Hong, Xudong Mao, Feiyue Huang, Yongjian Wu, Rongrong Ji. Shawn Mathew, Saad Nadeem, Sruti Kumari, Arie Kaufman. What's the problem? TIP 2019. Hao Tang, Dan Xu, Yan Yan, Jason J. Corso, Philip H.S. [PDF], Conditional Invertible Neural Networks for Diverse Image-to-Image Translation. [PDF] arxiv 2020. full resolution correspondence learning for image translation. Aviv Gabbay, Yedid Hoshen. Towards Instance-Level Image-To-Image Translation. Zewei Sun, Shujian Huang, Hao-Ran Wei, Xin-yu Dai, Jiajun Chen. Zeqi Li, Ruowei Jiang,, Parham Aarabi. [PDF], Image-to-Image Translation with Text Guidance. ReversibleGANs for Memory-Efficient ImageTo Image Translation. Arbish Akram and Nazar Khan. [PDF] [PDF] 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. Shaoan Xie, Qirong Ho, Kun Zhang. Harmonic Unpaired Image-to-image Translation. TPAMI 2021. ACM MM 2019. Are you sure you want to create this branch? AAAI 2019. arxiv 2021. Retrieval Guided Unsupervised Multi-domain Image-to-Image Translation. Carlos Rodriguez-Pardo, Elena Garces Yifang Men, Yiming Mao, Yuning Jiang, Wei-Ying Ma, Zhouhui Lian. Kuniaki Saito, Kate Saenko, Ming-Yu Liu. [PDF], DeepHist: Differentiable Joint and Color Histogram Layers for Image-to-Image Translation. [PDF] [Github], Neural Photometry-guided Visual Attribute Transfer. RL-CycleGAN: Reinforcement Learning Aware Simulation-To-Real. This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository. Sangwoo Mo, Minsu Cho, Jinwoo Shin. OverLORD: Scaling-up Disentanglement for Image Translation. awesome image-to-image translation A collection of resources on image-to-image translation. Unpaired Image-to-Image Translation using Adversarial Consistency Loss. [PDF] Long Zhuo, Guangcong Wang, Shikai Li, Wayne Wu, Ziwei Liu. Hello friends, I use your model to train metfaces dataset and create paired label edge label After 100 rounds of training, classify the pictures according to the cosine similarity of VGG extracted features. [PDF] Finally create the root folder deepfashionHD, and move the folders img and pose below it. Shuchang Zhou, Taihong Xiao, Yi Yang, Dieqiao Feng, Qinyao He, Weiran He. arxiv 2020. Co-Evolutionary Compression for Unpaired Image Translation. We present the full-resolution correspondence learning for cross-domain images, which aids image translation. Yuki Endo, Yoshihiro Kanamori. Stefano Ermon. 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. PuppetGAN: Cross-domain Image Manipulation by Demonstration. 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 ICML 2017. Saliency-Guided Image Translation. Tamar Rott Shaham, Michael Gharbi, Richard Zhang, Eli Shechtman, Tomer Michaeli. Bringing Old Photos Back to Life. Nevertheless, finding a definition of what is aesthetic is not The-Phuc Nguyen, Stphane Lathuilire, Elisa Ricci. ICPR 2020. BMVC 2021. Ben Usman, Dina Bashkirova, Kate Saenko. Rongliang Wu, Shijian Lu. [PDF] [Github], SAM: Only a Matter of Style-Age Transformation Using a Style-Based Regression Model. We adopt a hierarchical strategy that uses the correspondence from coarse level to guide the fine levels. TimeCycle Code for Learning Correspondence from the Cycle-consistency of Time (CVPR 2019, Oral). Nazar Khan, Arbish Akram, Arif Mahmood, Sania Ashraf, Kashif Murtaza. For examp TransGaGaGeometry-Aware Unsupervised Image To Image Translation. Yugang Chen, Muchun Chen, Chaoyue Song, Bingbing Ni. Kunhee Kim, Sanghun Park, Eunyeong Jeon, Taehun Kim, Daijin Kim. Chitwan Saharia, William Chan, Huiwen Chang, Chris A. Lee, Jonathan Ho, Tim Salimans, David J. [PDF] Chen Gao, Si Liu, Ran He, Shuicheng Yan, Bo Li. [PDF] World-Consistent Video-to-Video Synthesis. Aviv Gabbay, Yedid Hoshen. Smoothing the Disentangled Latent Style Space for Unsupervised Image-to-Image Translation. SHUNIT: Style Harmonization for Unpaired Image-to-Image Translation. arxiv 2021. UCTGAN: Diverse Image Inpainting Based on Unsupervised Cross-Space Translation. Shih-En Wei, Jason Saragih, Tomas Simon, Adam W. Harley, Stephen Lombardi, Michal Perdoch, Alexander Hypes, Dawei Wang, Hernan Badino, Yaser Sheikh. [PDF], ISF-GAN: An Implicit Style Function for High-Resolution Image-to-Image Translation. [Github] Jun-Yan Zhu, Taesung Park, Phillip Isola, Alexei A. Efros. Mor Avi-Aharon, Assaf Arbelle, Tammy Riklin Raviv. The codes and the pretrained model in this repository are under the MIT license as specified by the LICENSE file. [PDF], Global and Local Alignment Networks for Unpaired Image-to-Image Translation. Pan Zhang, Jianmin Bao, Ting Zhang, Dong Chen, Fang Wen. Wenqing Chu, Wei-Chih Hung, Yi-Hsuan Tsai, Yu-Ting Chang, Yijun Li, Deng Cai, Ming-Hsuan Yang. [PDF] [Official Tensorflow] [Pytorch] [photo2cartoon] [Morph UGATIT]. arxiv 2019. [PDF] 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. 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. We present the full-resolution correspondence learning for cross-domain images, which aids image translation. 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. Full-Resolution Correspondence Learning for Image Translation. [PDF] [Github], GAIT: Gradient Adjusted Unsupervised Image-to-Image Translation. InstaGAN: Instance-aware Image-to-Image Translation. Kancharagunta Kishan Babu, Shiv Ram Dubey. Cross-Domain Cascaded Deep Feature Translation. dataloader = data.create_dataloader(opt) Xingran Zhou, Bo Zhang, Ting Zhang, Pan Zhang, Jianmin Bao, Dong Chen, Zhongfei Zhang, Fang Wen. Unsupervised Image-to-Image Translation with Density Changing Regularization. (oral) HiSD: Image-to-image Translation via Hierarchical Style Disentanglement. Yulun Zhang, Chen Fang, Yilin Wang, Zhaowen Wang, Zhe Lin, Yun Fu, Jimei Yang. Unpaired Image Translation via Vector Symbolic Architectures. [PDF] Zekun Hao, Arun Mallya, Serge Belongie, Ming-Yu Liu. 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". NeurIPS 2017. Multimodal Style Transfer via Graph Cuts. Fangneng Zhan, Yingchen Yu, Rongliang Wu, Jiahui Zhang, Shijian Lu, Changgong Zhang. We adopt a hierarchical strategy that uses the correspondence from coarse level to guide the finer levels with the proposed GRU-assisted PatchMatch. arxiv 2020. Kyle Olszewski, Duygu Ceylan, Jun Xing, Jose Echevarria, Zhili Chen, Weikai Chen, Hao Li. Yaxing Wang, Salman Khan, Abel Gonzalez-Garcia, Joost van de Weijer, Fahad Shahbaz Khan. arxiv 2020. Multi-Channel Attention Selection GAN With Cascaded Semantic Guidance for Cross-View Image Translation. Homomorphic Latent Space Interpolation for Unpaired Image-To-Image Translation. Yunjey Choi, Minje Choi, Munyoung Kim, Jung-Woo Ha, Sunghun Kim, Jaegul Choo. A collection of awesome resources image-to-image translation. dataset/DeepFashionHD. Springer Machine Vision and Applications 2021. [PDF] [PDF] [Github], StyleGAN-NADA: CLIP-Guided Domain Adaptation of Image Generators. TOG 2020. Scroll through all of the Frequently Asked Questions to see if any of them pertain to your complaint and click the. UNIT-DDPM: UNpaired Image Translation with Denoising Diffusion Probabilistic Models. [PDF] [Github]. NeurIPS 2020. 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. Old Photo Restoration via Deep Latent Space Translation We adopt a hierarchical strategy that uses the correspondence from coarse level to guide the fine levels. We present the full-resolution correspondence learning for cross-domain images, which aids image translation. arxiv 2022. Shaoan Xie, Mingming Gong, Yanwu Xu, Kun Zhang. ICCV Workshop 2021. LPTN: High-Resolution Photorealistic Image Translation in Real-Time: A Laplacian Pyramid Translation Network. Mingcong Liu, Qiang Li, Zekui Qin, Guoxin Zhang, Pengfei Wan, Wen Zheng. Posted on . Kevin Frans, Chin-Yi Cheng. Zhiqiang Shen, Mingyang Huang, Jianping Shi, Xiangyang Xue, Thomas S. Huang. the historic estimates. 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.". Feedback and contributions are welcome! Jie Liang, Hui Zeng, Lei Zhang. Xiang Xu, Megha Nawhal, Greg Mori, Manolis Savva. Experiments on diverse translation tasks show our approach performs considerably better than state-of-the-arts on producing high-resolution images.