Raul Gomez, Yahui Liu, Marco De Nadai, Dimosthenis Karatzas, Bruno Lepri, Nicu Sebe. Kai Ye, Yinru Ye, Minqiang Yang, Bin Hu. 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. Semantic Relation Preserving Knowledge Distillation for Image-to-Image Translation. Ori Nizan, Ayellet Tal. Mu Cai, Hong Zhang, Huijuan Huang, Qichuan Geng, Yixuan Li, Gao Huang. 10 25 Australia Oceania Place 25 comments Best kalmia440 4 yr. [PDF], DosGAN: Exploring Explicit Domain Supervision for Latent Space Disentanglement in Unpaired Image-to-Image Translation. arxiv 2020. Distilling Portable Generative Adversarial Networks for Image Translation. arxiv 2022. Lingke Kong, Chenyu Lian, Detian Huang, Zhenjiang Li, Yanle Hu, Qichao Zhou. translation. Tianyang Shi, Yi Yuan, Changjie Fan, Zhengxia Zou, Zhenwei Shi, Yong Liu. [PDF], I2V-GAN: Unpaired Infrared-to-Visible Video Translation. [PDF] [Project] arxiv 2021. Yu-Jie Chen, Shin-I Cheng, Wei-Chen Chiu, Hung-Yu Tseng, Hsin-Ying Lee. We offer the keypoints detection results used in our experiment in this link. Ibrahim Batuhan Akkaya, Ugur Halici. The proposed CoCosNet v2, a GRU-assisted PatchMatch approach, is fully 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. Multi-Curve Translator for High-Resolution Photorealistic Image Translation. StarGAN v2: Diverse Image Synthesis for Multiple Domains. This material is presented to ensure timely dissemination of scholarly and technical work. [PDF] [Github], iFlowGAN: An Invertible Flow-based Generative Adversarial Network For Unsupervised Image-to-Image Translation. Then run the following command. [PDF] [Github], Deep Sketch-guided Cartoon Video Synthesis. Kyungjune Baek, Yunjey Choi, Youngjung Uh, Jaejun Yoo, Hyunjung Shim. Today's best Sunpass Coupon Code: See All Sunpass's Best-seller. Intuitive, Interactive Beard and Hair Synthesis with Generative Models. arxiv 2019. This project has adopted the Microsoft Open Source Code of Conduct. Attention-Aware Multi-Stroke Style Transfer. [PDF] Xiang Xu, Megha Nawhal, Greg Mori, Manolis Savva. Yiming Gao, Jiangqin Wu. Abstract We present the full-resolution correspondence learning for cross-domain images, which aids image translation. Mohamed Abderrahmen Abid, Ihsen Hedhli, Jean-Franois Lalonde, Christian Gagne. Bin Ren, Hao Tang, Yiming Wang, Xia Li, Wei Wang, Nicu Sebe. #art #artist #anime #cool #meatcanyon #hashtag #fyp. arxiv 2022. BMVC 2020. Fangneng Zhan, Yingchen Yu, Kaiwen Cui, Gongjie Zhang, Shijian Lu, Jianxiong Pan, Changgong Zhang, Feiying Ma, Xuansong Xie, Chunyan Miao. Md Mahfuzur Rahman Siddiquee, Zongwei Zhou, Nima Tajbakhsh, Ruibin Feng, Michael B. Gotway, Yoshua Bengio, Jianming Liang. [PDF] (2021) Dagstuhl. Yu Lin, Yigong Wang, Yifan Li, Yang Gao, Zhuoyi Wang, Latifur Khan. Takehiko Ohkawa, Naoto Inoue, Hirokatsu Kataoka, Nakamasa Inoue. Jianxin Lin, Yingxue Pang, Yingce Xia, Zhibo Chen, Jiebo Luo. [PDF] [Github] www.microsoft.com [PDF] [PDF] Hao Tang, Dan Xu, Nicu Sebe, Yan Yan. TuiGAN: Learning Versatile Image-to-Image Translation with Two Unpaired Images. Retrieval Guided Unsupervised Multi-domain Image-to-Image Translation. Not Just Compete, but Collaborate: Local Image-to-Image Translation via Cooperative Mask Prediction. Wavelet Knowledge Distillation: Towards Efficient Image-to-Image Translation. Grigory Antipov, Moez Baccouche, Jean-Luc Dugelay. In each AAAI 2019. A tag already exists with the provided branch name. GANHopper: Multi-Hop GAN for Unsupervised Image-to-Image Translation. arxiv 2020. Diversity-Sensitive Conditional Generative Adversarial Networks. CVPR 2018. TIP 2019. full resolution correspondence learning for image translation [PDF][Project] [Unofficial] Shuchang Zhou, Taihong Xiao, Yi Yang, Dieqiao Feng, Qinyao He, Weiran He. We adopt a hierarchical strategy that uses the correspondence from the coarse level to guide the finer levels. [PDF] [Project] [Github] Copyright and all rights therein are retained by authors or by other copyright holders. arxiv 2021. Unbalanced Feature Transport for Exemplar-based Image Translation. [PDF] [Github], Separating Content and Style for Unsupervised Image-to-Image Translation. Taeksoo Kim, Moonsu Cha, Hyunsoo Kim, Jung Kwon Lee, Jiwon Kim. [PDF], Pixel-based Facial Expression Synthesis. Textured Neural Avatars. Semantically Robust Unpaired Image Translation for Data With Unmatched Semantics Statistics. arxiv 2022. At each hierarchy, the correspondence can be efficiently computed via PatchMatch that iteratively leverages the . Ben Usman, Dina Bashkirova, Kate Saenko. Arbish Akram and Nazar Khan. [PDF], Few-shot Semantic Image Synthesis Using StyleGAN Prior. [PDF] WCVA 2021 Workshop at ICVGIP. Cookie Notice [PDF], Breaking the Dilemma of Medical Image-to-image Translation. Steven Liu, Tongzhou Wang, David Bau, Jun-Yan Zhu, Antonio Torralba. Closing the Loop: Joint Rain Generation and Removal via Disentangled Image Translation. Jianxin Lin, Yijun Wang, Zhibo Chen, Tianyu He. Multi-mapping Image-to-Image Translation via Learning Disentanglement. Within each 0. You signed in with another tab or window. ICPR 2020. Model-Aware Gesture-to-Gesture Translation. When jointly trained with image Paper | Slides Abstract Aesthetic emotions, what are their cognitive functions? TMM 2021. Yahui Liu, Enver Sangineto, Yajing Chen, Linchao Bao, Haoxian Zhang, Nicu Sebe, Bruno Lepri, Wei Wang, Marco De Nadai. Full-Resolution Correspondence Learning for Image Translation Min Zhao, Fan Bao, Chongxuan Li, Jun Zhu. BMVC 2021. [PDF] [Github], Unpaired Photo-to-manga Translation Based on The Methodology of Manga Drawing. (we used Pytorch 1.7.0 in our experiments). [PDF] [Project] [Github] Wanfeng Zheng, Qiang Li, Guoxin Zhang, Pengfei Wan, Zhongyuan Wang. Monday is dedicated to providing the best educational project management solution. [PDF] [Github], Unsupervised Image-to-Image Translation via Pre-trained StyleGAN2 Network. Cross-Granularity Learning for Multi-Domain Image-to-Image Translation. OA-FSUI2IT: A Novel Few-Shot Cross Domain Object Detection Framework with Object-aware Few-shot Unsupervised Image-to-Image Translation. Xinrui Wang and Jinze Yu. TPAMI 2022. [PDF] [Github], Federated CycleGAN for Privacy-Preserving Image-to-Image Translation. Abstract: We present the full-resolution correspondence learning for cross-domain images, which aids image translation. Tex2Shape: Detailed Full Human Body Geometry From a Single Image. Daejin Kim, Mohammad Azam Khan, Jaegul Choo. Unsupervised one-to-many image translation. Shuang Li, Bingfeng Han, Zhenjie Yu, Chi Harold Liu, Kai Chen, Shuigen Wang. Cross-Domain Cascaded Deep Feature Translation. Chin-Yuan Yeh, Hsi-Wen Chen, Hong-Han Shuai, De-Nian Yang, Ming-Syan Chen. Unzip the file and rename it as img. [PDF] Samarth Shukla, Andrs Romero, Luc Van Gool, Radu Timofte. We plan to release the training code. Aliaksandra Shysheya, Egor Zakharov, Kara-Ali Aliev, Renat Bashirov, Egor Burkov, Karim Iskakov, Aleksei Ivakhnenko, Yury Malkov, Igor Pasechnik, Dmitry Ulyanov, Alexander Vakhitov, Victor Lempitsky. Ying-Cong Chen, Xiaogang Xu and Jiaya Jia. IJCAI 2022. Samet Hicsonmez, Nermin Samet, Emre Akbas, Pinar Duygulu. [PDF] [PDF] [Github] [Project], Semantically Adaptive Image-to-image Translation for Domain Adaptation of Semantic Segmentation. Dina Bashkirova, Ben Usman, Kate Saenko. Motor Imagery in Clinical Disorders: Importance and Implications CollaGAN : Collaborative GAN for Missing Image Data Imputation. Jinsong Zhang, Kun Li, Yu-Kun Lai, Jingyu Yang. 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. CVPR 2017. arxiv 2021. NeurIPS 2021. [PDF] [Project] [Github] [TensorFlow], pix2pix: Image-to-Image Translation with Conditional Adversarial Networks. We use this model to calculate training loss. Shih-En Wei, Jason Saragih, Tomas Simon, Adam W. Harley, Stephen Lombardi, Michal Perdoch, Alexander Hypes, Dawei Wang, Hernan Badino, Yaser Sheikh. Fei Gao, Xingxin Xu, Jun Yu, Meimei Shang, Xiang Li, and Dacheng Tao. full resolution correspondence learning for image translation why shouldn't you whistle at night native. [PDF] sinners in the hands of an angry god analysis worksheet / bacnet object types table / bacnet object types table [PDF] [Github] 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. Shani Gamrian, Yoav Goldberg. Yong Wang, Longyue Wang, Shuming Shi, Victor Li, Zhaopeng Tu. IJCAI 2021. UNIT-DDPM: UNpaired Image Translation with Denoising Diffusion Probabilistic Models. Now the the directory structure is like: The inference results are saved in the folder checkpoints/deepfashionHD/test. Long-Term Temporally Consistent Unpaired Video Translation from Simulated Surgical 3D Data. Julia Wolleb, Robin Sandkhler, Florentin Bieder, Philippe C. Cattin. This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository. UNIST: Unpaired Neural Implicit Shape Translation Network. Note that --dataroot parameter is your DeepFashionHD dataset root, e.g. [PDF] Are you sure you want to create this branch? Finally create the root folder deepfashionHD, and move the folders img and pose below it. For example xxx_ref.txt and xxx_ref_test.txt, as provided by CoCosNet v1. Dongyeun Lee, Jae Young Lee, Doyeon Kim, Jaehyun Choi, Junmo Kim. Experiments on diverse translation tasks show that CoCosNet v2 performs considerably better than state-of-the-art literature on producing high-resolution images. Fine-grained Image-to-Image Transformation towards Visual Recognition. Guanglei Yang, Hao Tang, Humphrey Shi, Mingli Ding, Nicu Sebe, Radu Timofte, Luc Van Gool, Elisa Ricci. Yahui Liu, Yajing Chen, Linchao Bao, Nicu Sebe, Bruno Lepri, Marco De Nadai. File "train.py", line 21, in Yu Han, Shuai Yang, Wenjing Wang, Jiaying Liu. Zhiwei Jia, Bodi Yuan, Kangkang Wang, Hong Wu, David Clifford, Zhiqiang Yuan, Hao Su. Zhenliang He, Wangmeng Zuo, Meina Kan, Shiguang Shan, Xilin Chen. Shuai Yang, Liming Jiang, Ziwei Liu, Chen Change Loy. IJCAI 2019. Finally create the root folder deepfashionHD, and move the folders img and pose below it. CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation Po-Wei Wu, Yu-Jing Lin, Che-Han Chang, Edward Y. Chang, Shih-Wei Liao. Experiments on diverse translation tasks show that CoCosNet v2 performs considerably better than state-of-the-art literature on producing high-resolution images. LPTN: High-Resolution Photorealistic Image Translation in Real-Time: A Laplacian Pyramid Translation Network. Full-Resolution Correspondence Learning for Image Translation Andrs Romero, Pablo Arbelez, Luc Van Gool, Radu Timofte. Xingran Zhou, Bo Zhang, Ting Zhang, Pan Zhang, Jianmin Bao, Dong Chen, Zhongfei Zhang, Fang Wen. arxiv 2020. full resolution correspondence learning for image translation [PDF] [Github], Neural Photometry-guided Visual Attribute Transfer. Guansong Lu, Zhiming Zhou, Yuxuan Song, Kan Ren, Yong Yu. ForkGAN: Seeing into the Rainy Night. [PDF][Github] 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). full resolution correspondence learning for image translation 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. We offer the keypoints detection results used in our experiment in this link. [PDF] Tamar Rott Shaham, Michael Gharbi, Richard Zhang, Eli Shechtman, Tomer Michaeli. [PDF] [Github], Semi-Supervised Image-to-Image Translation using Latent Space Mapping. Deep CG2Real: Synthetic-to-Real Translation via Image Disentanglement. [PDF], Diffusion-based Image Translation using Disentangled Style and Content Representation. [Github], CrossNet: Latent Cross-Consistency for Unpaired Image Translation. Can you provide configuration files for the other datasets mentioned in the paper? " Full-Resolution Correspondence Learning for Image Translation ", 2021 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2021 Oral, best paper candidate) . dataset/DeepFashionHD. [PDF] [Github], DRIT++: Diverse Image-to-Image Translation via Disentangled Representations. Blind Image Decomposition (BID) and Blind Image Decomposition network (BIDeN), Image Classification Project Killer in PyTorch, An Effective Loss Function for Generating 3D Models from Single 2D Image without Rendering. Fast-Vid2Vid: Spatial-Temporal Compression for Video-to-Video Synthesis. Ruho Kondo, Keisuke Kawano, Satoshi Koide, Takuro Kutsuna. Lynton Ardizzone, Jakob Kruse, Carsten Lth, Niels Bracher, Carsten Rother, Ullrich Kthe. Abstract: A huge number of publications are devoted to aesthetic emotions; Google Scholar gives 319,000 references. Experiments on diverse translation tasks show our approach performs considerably better than state-of-the-arts on producing high-resolution images. Ming Lu, Hao Zhao, Anbang Yao, Yurong Chen, Feng Xu, Li Zhang. Yaxing Wang, Hector Laria, Joost van de Weijer, Laura Lopez-Fuentes, Bogdan Raducanu. Download the train-val lists from this link, and the retrival pair lists from this link. [R] Full-Resolution Correspondence Learning for Image Translation - reddit Art2Real: Unfolding the Reality of_Artworks via Semantically-Aware Image-To-Image Translation. [Github] [PDF], DTN: Unsupervised Cross-Domain Image Generation. [PDF] 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. We use OpenPose to estimate pose of DeepFashion(HD). 0,00 full resolution correspondence learning for image translation . arxiv 2020. [PDF] [Project] [Github] [Data] [PDF], Image-to-Image Translation with Text Guidance. arxiv 2019. Hao Tang, Dan Xu, Yan Yan, Jason J. Corso, Philip H.S. Cross-domain Correspondence Learning for Exemplar-based Image - Medium [PDF], IEGAN: Independent Encoder for Deep Hierarchical Unsupervised Image-to-Image Translation. Zhen Zhu, Zhiliang Xu, Ansheng You, Xiang Bai. [PDF], CLADE: Rethinking Spatially-Adaptive Normalization. [PDF] [Github] Jie Cao, Luanxuan Hou, Ming-Hsuan Yang, Ran He, Zhenan Sun. Liqian Ma, Xu Jia, Stamatios Georgoulis, Tinne Tuytelaars, Luc Van Gool. van der Ouderaa, Daniel E. Worrall. [PDF], Complementary, Heterogeneous and Adversarial Networks for Image-to-Image Translation. EG-UNIT: Exemplar Guided Unsupervised Image-to-Image Translation with Semantic Consistency. 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. At each hierarchy, the correspondence can be efficiently computed via PatchMatch that iteratively leverages the matchings from the neighborhood. Rui Gong, Dengxin Dai, Yuhua Chen, Wen Li, Luc Van Gool. arxiv 2022. Attentive Normalization for Conditional Image Generation. Baran Ozaydin, Tong Zhang, Sabine Susstrunk, Mathieu Salzmann. [PDF] [PDF] (An extended version of SelectionGAN published in CVPR2019) [PDF] [Githtub], CDGAN: Cyclic Discriminative Generative Adversarial Networks for Image-to-Image Transformation. full resolution correspondence learning for image translation [PDF], Mocycle-GAN: Unpaired Video-to-Video Translation. Ming-Yu Liu, Xun Huang, Arun Mallya, Tero Karras, Timo Aila, Jaakko Lehtinen, Jan Kautz. deepfashion_ref.txt, deepfashion_ref_test.txt and deepfashion_self_pair.txt are the paring lists used in our experiment. [PDF] [Github] TimeCycle Code for Learning Correspondence from the Cycle-consistency of Time (CVPR 2019, Oral). Ming-Yu Liu, Thomas Breuel, Jan Kautz. As an Amazon Associate, we earn from qualifying purchases. arxiv 2022. [PDF] Weilun Wang, Wengang Zhou, Jianmin Bao, Dong Chen, Houqiang Li. Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation to Disease Detection and Localization. Activating mini sunpass. Ondej Jamrika, rka Sochorov, Ondej Texler, Michal Luk, Jakub Fier, Jingwan Lu, Eli Shechtman, Daniel Skora. 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. Aamir Mustafa, Rafal K. Mantiuk. Unpaired Image-to-Image Translation using Adversarial Consistency Loss. Springer Machine Vision and Applications 2021. [PDF], Online Exemplar Fine-Tuning for Image-to-Image Translation. [PDF] [arxiv] [project] Balaram Singh Kshatriya, Shiv Ram Dubey, Himangshu Sarma, Kunal Chaudhary, Meva Ram Gurjar, Rahul Rai, Sunny Manchanda. Run the following command for training from scratch. 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. yaxing wang, Lu Yu, Joost van de Weijer. Hao Tang, Song Bai, Li Zhang, Philip H. S. Torr, Nicu Sebe. We adopt a hierarchical strategy that uses the correspondence from coarse level to guide the fine levels. [PDF] [Supplementary Materials] [Github] arxiv 2020. [PDF] We adopt a hierarchical strategy that uses the correspondence from coarse level to guide the fine levels. [PDF] [Github] Kaihong Wang, Kumar Akash, Teruhisa Misu. [PDF] [Demo] [Github] Few-shot Image Generation via Cross-domain Correspondence. arxiv 2020. [PDF] [Project] [Github], Distilling GANs with Style-Mixed Triplets for X2I Translation with Limited Data. Transactions on Visualizations and Computer Graphics. RIFT: Disentangled Unsupervised Image Translation via Restricted Information Flow. [PDF] [Github], DEEPSim: Deep Single Image Manipulation. full resolution correspondence learning for image translation Author: Published on: fargo school boundary changes June 8, 2022 Published in: jeffrey donovan dancing with the stars For more information, FAU Implementation of the paper: Facial Action Unit Intensity Estimation via Semantic Correspondence Learning with Dynamic Graph Convolution. Experiments on diverse translation tasks show our approach performs considerably better than state-of-the-arts on producing high-resolution images. ICCV Workshop 2021. 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. Aviv Gabbay, Yedid Hoshen. The full-resolution correspondence is learned hierarchically, where the low-resolution result serves as the initialization for the next level. Cant Login To SunpassDon't miss. Download the pretrained VGG model from this link, move it to vgg/ folder. Wei Xiong, Yutong He, Yixuan Zhang, Wenhan Luo, Lin Ma, Jiebo Luo. [PDF] full resolution correspondence learning for image translation. Yuanbin Fu, Jiayi Ma, Lin Ma, Xiaojie Guo. We adopt a hierarchical strategy that We. Download and unzip the results file. Download the train-val lists from this link, and the retrival pair lists from this link. Instance-wise Hard Negative Example Generation for Contrastive Learning in Unpaired Image-to-Image Translation. arxiv 2020. Lifan Zhao, Yunlong Meng, Lin Xu. Full-Resolution Correspondence Learning for Image Translation. [PDF] [Project], MCMI: Multi-Cycle Image Translation with Mutual Information Constraints. Full-Resolution Correspondence Learning for Image Translation InstaFormer: Instance-Aware Image-to-Image Translation with Transformer. Kancharagunta Kishan Babu, Shiv Ram Dubey. For more information, please see our [PDF], Recapture as You Want. Trust Monday to help you streamline your schoolwork and enhance the quality of . [PDF], Quality Metric Guided Portrait Line Drawing Generation from Unpaired Training Data. Runfa Chen, Wenbing Huang, Binghui Huang, Fuchun Sun, Bin Fang. arxiv 2021. [PDF], Multi-Channel Attention Selection GANs for Guided Image-to-Image Translation. 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] [Project] [Github] The proposed CoCosNet v2, a GRU-assisted PatchMatch approach, is fully differentiable and highly efficient. Experiments on diverse translation tasks show that CoCosNet v2 performs considerably better than state-of-the-art literature on producing high-resolution images. Guided Variational Autoencoder for Disentanglement Learning. author = {Zhou, Xingran and Zhang, Bo and Zhang, Ting and Zhang, Pan and Bao, Jianmin and Chen, Dong and Zhang, Zhongfei and Wen, Fang}, CVPR 2021 Workshop on NTIRE. [PDF] Xingran Zhou, Bo Zhang, Ting Zhang, Pan Zhang, Jianmin Bao, Dong Chen, Zhongfei Zhang, Fang Wen, Full-Resolution Correspondence Learning for Image Translation. Arnab Ghosh, Richard Zhang, Puneet K. Dokania, Oliver Wang, Alexei A. Efros, Philip H. S. Torr, Eli Shechtman. MIDMs: Matching Interleaved Diffusion Models for Exemplar-based Image [PDF] arxiv 2022. arxiv 2021. DeepMosaics: Automatically remove the mosaics in images and videos, or add mosaics to them, A simple rest api that classifies pneumonia infection weather it is Normal, Pneumonia Virus or Pneumonia Bacteria from a chest-x-ray image, Camera Distance-aware Top-down Approach for 3D Multi-person Pose Estimation from a Single RGB Image, Towards Flexible Blind JPEG Artifacts Removal in python.

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