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[PDF] [Project] [Github] Zhentao Tan, Menglei Chai, Dongdong Chen, Jing Liao, Qi Chu, Lu Yuan, Sergey Tulyakov, Nenghai Yu. [PDF] Xiaokang Zhang, Yuanlue Zhu, Wenting Chen, Wenshuang Liu, Linlin Shen. [PDF], Full-Resolution Correspondence Learning for Image Translation. 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. [PDF] [Project], MCMI: Multi-Cycle Image Translation with Mutual Information Constraints. Reference-Based Sketch Image Colorization using Augmented-Self Reference and Dense Semantic Correspondence. Experiments on diverse translation tasks show that CoCosNet v2 performs considerably better than state-of-the-art literature on producing high-resolution images. ICCV Workshop 2021. Yunjey Choi, Minje Choi, Munyoung Kim, Jung-Woo Ha, Sunghun Kim, Jaegul Choo. SIGGRAPH 2022. We also thank SPADE and RAFT. Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, Alexei A. Efros. [PDF] [Project], StyleFlow For Content-Fixed Image to Image Translation. [PDF][Project] [Unofficial] [PDF] [Github] [PDF] [Project] [Github] Translation, CFFT-GAN: Cross-domain Feature Fusion Transformer for Exemplar-based OA-FSUI2IT: A Novel Few-Shot Cross Domain Object Detection Framework with Object-aware Few-shot Unsupervised Image-to-Image Translation. Alessandro Simoni, Luca Bergamini, Andrea Palazzi, Simone Calderara, Rita Cucchiara. Mu Cai, Hong Zhang, Huijuan Huang, Qichuan Geng, Gao Huang. info@gurukoolhub.com +1-408-834-0167 [PDF], Pixel-based Facial Expression Synthesis. van der Ouderaa, Daniel E. Worrall. Stop the war! Yiming Gao, Jiangqin Wu. [PDF] [PDF] Ying-Cong Chen, Xiaogang Xu and Jiaya Jia. [PDF] [Project], Multi-Domain Image-to-Image Translation with Adaptive Inference Graph. sinners in the hands of an angry god analysis worksheet / bacnet object types table / bacnet object types table ACM MM 2019. 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. [PDF] arxiv 2020. We use this model to calculate training loss. [PDF], ITTR: Unpaired Image-to-Image Translation with Transformers. arxiv 2020. We adopt a hierarchical strategy that uses the correspondence from coarse level to guide the fine levels. [PDF] Xueqi Hu, Xinyue Zhou, Qiusheng Huang, Zhengyi Shi, Li Sun, Qingli Li. Yahui Liu, Enver Sangineto, Yajing Chen, Linchao Bao, Haoxian Zhang, Nicu Sebe, Bruno Lepri, Wei Wang, Marco De Nadai. [PDF], AttentionGAN: Attention-Guided Generative Adversarial Networks for Unsupervised Image-to-Image Translation. Note train.txt and val.txt are our train-val lists. Tycho F.A. Takehiko Ohkawa, Naoto Inoue, Hirokatsu Kataoka, Nakamasa Inoue. 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. For example xxx_ref.txt and xxx_ref_test.txt, as provided by CoCosNet v1. TOG 2021. UNIT-DDPM: UNpaired Image Translation with Denoising Diffusion Probabilistic Models. Lynton Ardizzone, Jakob Kruse, Carsten Lth, Niels Bracher, Carsten Rother, Ullrich Kthe. Run the following command for training from scratch. [PDF], Unpaired Image Translation via Adaptive Convolution-based Normalization. Move the models below the folder checkpoints/deepfashionHD. 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.". TuiGAN: Learning Versatile Image-to-Image Translation with Two Unpaired Images. [Github] [PDF]. Experiments on diverse translation tasks show that CoCosNet v2 performs considerably better than state-of-the-art literature on producing high-resolution images. [PDF] Wenju Xu, Guanghui Wang. Diversity-Sensitive Conditional Generative Adversarial Networks. arxiv 2022. Jianxin Lin, Yijun Wang, Zhibo Chen, Tianyu He. Rui Liu, Yixiao Ge, Ching Lam Choi, Xiaogang Wang, Hongsheng Li. Aviv Gabbay, Yedid Hoshen. We adopt a hierarchical strategy that uses the correspondence from coarse level to guide the fine levels. [PDF], Image-to-Image Translation: Methods and Applications. CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation. Reversible GANs for Memory-efficient Image-to-Image Translation. The inference results are saved in the folder checkpoints/deepfashionHD/test. Neural Networks 2020. [PDF] BMVC 2021 (Oral). ICIP 2017. 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. [PDF] [Github], Show, Attend and Translate: Unsupervised Image Translation with Self-Regularization and Attention. Zhengxia Zou, Tianyang Shi, Shuang Qiu, Yi Yuan, Zhenwei Shi. Note you need to download our train-val split lists train.txt and val.txt from this link in this step. As an Amazon Associate, we earn from qualifying purchases. Maximum Spatial Perturbation Consistency for Unpaired Image-to-Image Translation. Figure 10: Pose-to-body image translation results at resolution 512 512. Sunhee Hwang, Sungho Park, Dohyung Kim, Mirae Do, Hyeran Byun. Kevin Frans, Chin-Yi Cheng. Hanting Chen, Yunhe Wang, Han Shu, Changyuan Wen, Chunjing Xu, Boxin Shi, Chao Xu, Chang Xu. Zheng Ding, Yifan Xu, Weijian Xu, Gaurav Parmar, Yang Yang, Max Welling, Zhuowen Tu. [PDF], I2V-GAN: Unpaired Infrared-to-Visible Video Translation. 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. Dongyeun Lee, Jae Young Lee, Doyeon Kim, Jaehyun Choi, Junmo Kim. The inference results are saved in the folder checkpoints/deepfashionHD/test. arxiv 2021. Oren Katzir, Dani Lischinski, Daniel Cohen-Or. Weichen Fan, Jinghuan Chen, Jiabin Ma, Jun Hou, Shuai Yi. Bringing Old Photos Back to Life. 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. Fast and Robust Face-to-Parameter Translation for Game Character Auto-Creation. RelGAN: Multi-Domain Image-to-Image Translation via Relative Attributes. [PDF] [PDF] [Github], GAIT: Gradient Adjusted Unsupervised Image-to-Image Translation. arxiv 2020. PISE: Person Image Synthesis and Editing with Decoupled GAN. Zhiwei Jia, Bodi Yuan, Kangkang Wang, Hong Wu, David Clifford, Zhiqiang Yuan, Hao Su. ICLR 2017. Hao Tang, Dan Xu, Yan Yan, Jason J. Corso, Philip H.S. CUT: Contrastive Learning for Unpaired Image-to-Image Translation. Jun-Yan Zhu, Taesung Park, Phillip Isola, Alexei A. Efros. For more information see the Code of Conduct FAQ or contact [emailprotected] with any additional questions or comments. TOG 2019. A tag already exists with the provided branch name. CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation [PDF] [PDF] Note the file name is img_highres.zip. Yaxing Wang, Hector Laria, Joost van de Weijer, Laura Lopez-Fuentes, Bogdan Raducanu. [PDF], DeepHist: Differentiable Joint and Color Histogram Layers for Image-to-Image Translation. [PDF] [Github] [Project], Semantically Adaptive Image-to-image Translation for Domain Adaptation of Semantic Segmentation. BMVC 2020. [PDF][Github][Project] CVPR 2021 Workshop on NTIRE. arxiv 2022. [PDF][Github] Finally create the root folder deepfashionHD, and move the folders img and pose below it. [PDF] [PDF] Grigory Antipov, Moez Baccouche, Jean-Luc Dugelay. arxiv 2022. We present the full-resolution correspondence learning for cross-domain images, which aids image translation. [PDF], Translate the Facial Regions You Like Using Region-Wise Normalization. Xinpeng Xie, Jiawei Chen, Yuexiang Li, Linlin Shen, Kai Ma, Yefeng Zheng. Wavelet Knowledge Distillation: Towards Efficient Image-to-Image Translation. Liqian Ma, Xu Jia, Stamatios Georgoulis, Tinne Tuytelaars, Luc Van Gool. We adopt a hierarchical strategy that uses the correspondence from coarse level to guide the finer levels. [PDF] [Github], LSC-GAN: Latent Style Code Modeling for Continuous Image-to-image Translation. If you use this code for your research, please cite our papers. ! Pauliina Paavilainen, Saad Ullah Akram, Juho Kannala. EG-UNIT: Exemplar Guided Unsupervised Image-to-Image Translation with Semantic Consistency. NeurIPS 2017. Few-shot Image Generation via Cross-domain Correspondence. [PDF] Dongwook Lee, Junyoung Kim, Won-Jin Moon, Jong Chul Ye. The proposed GRU-assisted PatchMatch is fully differentiable and highly efficient, and performs considerably better than state-of-the-arts on producing high-resolution images. Long Zhuo, Guangcong Wang, Shikai Li, Wayne Wu, Ziwei Liu. [PDF] [Github], Deep Sketch-guided Cartoon Video Synthesis. Tristan Bepler, Ellen Zhong, Kotaro Kelley, Edward Brignole, Bonnie Berger.*. [PDF] [Project], Analogical Image Translation for Fog Generation. Jianxin Lin, Yingxue Pang, Yingce Xia, Zhibo Chen, Jiebo Luo. 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. WHFL: Wavelet-Domain High Frequency Loss for Sketch-to-Image Translation. Yuanbin Fu, Jiayi Ma, Lin Ma, Xiaojie Guo. At each hierarchy, the correspondence can be efficiently computed via PatchMatch that iteratively leverages the matchings from the neighborhood. We adopt a hierarchical strategy that uses the correspondence from the coarse level to guide the finer levels. [PDF] [Github], PI-Trans: Parallel-ConvMLP and Implicit-Transformation Based GAN for Cross-View Image Translation. Shaoan Xie, Mingming Gong, Yanwu Xu, Kun Zhang. AAAI 2019. Ziyu Wan, Bo Zhang, Dongdong Chen, Pan Zhang, Dong Chen, Jing Liao, Fan Wen. [PDF], Pretraining is All You Need for Image-to-Image Translation. 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. TransGaGaGeometry-Aware Unsupervised Image To Image Translation. IJCV 2020. Bin Ren, Hao Tang, Nicu Sebe. Memory-guided Unsupervised Image-to-image Translation. Peihao Zhu, Rameen Abdal, Yipeng Qin, Peter Wonka. [PDF] [Project] [Github] TUNIT: Rethinking the Truly Unsupervised Image-to-Image Translation. [PDF] [GIthub], Cross-Domain Cascaded Deep Feature Translation. We present the full-resolution correspondence learning for cross-domain images, which aids image translation. arxiv 2022. Yaniv Taigman, Adam Polyak, Lior Wolf. [pdf] [Supplement] This project has adopted the Microsoft Open Source Code of Conduct. [PDF][Github][Project] [PDF] [PDF], DosGAN: Exploring Explicit Domain Supervision for Latent Space Disentanglement in Unpaired 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. Yu Lin, Yigong Wang, Yifan Li, Yang Gao, Zhuoyi Wang, Latifur Khan. arxiv 2019. Unselfie: Translating Selfies to Neutral-pose Portraits in the Wild. [PDF] Taeksoo Kim, Moonsu Cha, Hyunsoo Kim, Jung Kwon Lee, Jiwon Kim. Does this mean the pth file was corrupted? [enforce fail at ..\caffe2\serialize\inline_container.cc:211] . A collection of awesome resources image-to-image translation. Make sure you have prepared the DeepfashionHD dataset as the instruction. [PDF] Vignesh Srinivasan, Klaus-Robert Mller, Wojciech Samek, Shinichi Nakajima. Gihyun Kwon, Jong Chul Ye. Yuval Alaluf, Or Patashnik, Daniel Cohen-Or. [PDF] [Github], Stochastic Actor-Executor-Critic for Image-to-Image Translation. WACV 2020. You can simply get your CRN number from Mr. Liqian Ma, Zhe Lin, Connelly Barnes, Alexei A. Efros, Jingwan Lu. Today's best Sunpass Coupon Code: See All Sunpass's Best-seller. First download the Deepfashion dataset (high resolution version) from this link. Download them all and move below the folder data/. [PDF], Conditional Invertible Neural Networks for Diverse Image-to-Image Translation. [PDF] Our method is a one-sided mapping method for unpaired image-to-image translation, considering enhancing the performance of the generator and discriminator. [PDF] RL-CycleGAN: Reinforcement Learning Aware Simulation-To-Real. [PDF] Benign Examples: Imperceptible Changes Can Enhance Image Translation Performance. arxiv 2022. 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 . Qing Jin, Jian Ren, Oliver J. Woodford, Jiazhuo Wang, Geng Yuan, Yanzhi Wang, Sergey Tulyakov. SHUNIT: Style Harmonization for Unpaired Image-to-Image Translation. Springer Machine Vision and Applications 2021. Experiments on diverse translation tasks show our approach performs considerably better than state-of-the-arts on producing high-resolution images. [PDF] [Github] arxiv 2019. [PDF], CLADE: Rethinking Spatially-Adaptive Normalization. arxiv 2020. Wonwoong Cho, Sungha Choi, David Keetae Park, Inkyu Shin, Jaegul Choo. [PDF] For more information, FAU Implementation of the paper: Facial Action Unit Intensity Estimation via Semantic Correspondence Learning with Dynamic Graph Convolution. Arnab Ghosh, Richard Zhang, Puneet K. Dokania, Oliver Wang, Alexei A. Efros, Philip H. S. Torr, Eli Shechtman. Jie Hu, Rongrong Ji, Hong Liu, Shengchuan Zhang, Cheng Deng, Qi Tian. Torr, Nicu Sebastie. Saliency-Guided Image Translation. SMIS: Semantically Multi-modal Image Synthesis. Unzip the file and rename it as img. astros vs yankees cheating. [pdf] [Supplement] [PDF] [Github] arxiv 2022. Download the pretrained VGG model from this link, move it to vgg/ folder. Shawn Mathew, Saad Nadeem, Sruti Kumari, Arie Kaufman. pages = {11465-11475} Wanfeng Zheng, Qiang Li, Guoxin Zhang, Pengfei Wan, Zhongyuan Wang. [PDF] revolution racegear adelaide . 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-resolution images. arxiv 2020. Oren Katzir, Dani Lischinski, Daniel Cohen-Or. We present the full-resolution correspondence learning for cross-domain images, which aids image translation. [PDF] [Github], CrossNet: Latent Cross-Consistency for Unpaired Image Translation. Samarth Shukla, Andrs Romero, Luc Van Gool, Radu Timofte. arxiv 2020. WACV 2021. Prasun Roy, Saumik Bhattacharya, Subhankar Ghosh, Umapada Pal. Yugang Chen, Muchun Chen, Chaoyue Song, Bingbing Ni. TransferI2I: Transfer Learning for Image-to-Image Translation From Small Datasets. AAAI 2019. We adopt a hierarchical strategy that uses the correspondence from coarse level to guide the fine levels. [PDF] [PDF] [Project] The full-resolution correspondence is learned hierarchically, where the low-resolution result serves as the initialization for the next level. Unpaired Image-to-Image Translation using Adversarial Consistency Loss. [PDF] Interactive Sketch & Fill: Multiclass Sketch-to-Image Translation. Subhankar Roy, Aliaksandr Siarohin, Enver Sangineto, Nicu Sebe, Elisa Ricci. BMVC 2017. 1st row: exemplar images, 2nd row: generated images. Xihui Liu, Guojun Yin, Jing Shao, Xiaogang Wang, Hongsheng Li. Describe What to Change: A Text-guided Unsupervised Image-to-Image Translation Approach. [PDF] Taesung Park, Alexei A. Efros, Richard Zhang, Jun-Yan Zhu. Aamir Mustafa, Rafal K. Mantiuk. high-resolution images. Note you need to download our train-val split lists train.txt and val.txt from this link in this step. Bing Li, Yuanlue Zhu, Yitong Wang, Chia-Wen Lin, Bernard Ghanem, Linlin Shen. [PDF] Kancharagunta Kishan Babu, Shiv Ram Dubey. UNIST: Unpaired Neural Implicit Shape Translation Network. Chuanxia Zheng, Tat-Jen Cham, Jianfei Cai. Unsupervised Image-to-Image Translation with Generative Prior. Multi-Channel Attention Selection GAN With Cascaded Semantic Guidance for Cross-View Image Translation. [PDF] Hsin-Ying Lee, Hung-Yu Tseng, Qi Mao, Jia-Bin Huang, Yu-Ding Lu, Maneesh Singh, Ming-Hsuan Yang. Panoptic-Aware Image-to-Image Translation. Ming-Yu Liu, Thomas Breuel, Jan Kautz. Abstract: A huge number of publications are devoted to aesthetic emotions; Google Scholar gives 319,000 references. Balaram Singh Kshatriya, Shiv Ram Dubey, Himangshu Sarma, Kunal Chaudhary, Meva Ram Gurjar, Rahul Rai, Sunny Manchanda. Ziwei Luo, Jing Hu, Xin Wang, Siwei Lyu, Bin Kong, Youbing Yin, Qi Song, Xi Wu. Ruobing Zheng, Ze Luo, Baoping Yan. COCO-FUNIT: Few-Shot Unsupervised Image Translation with a Content Conditioned Style Encoder. [PDF][Github] We use this model to calculate training loss. NeurIPS 2016 Workshop on Adversarial Training. ICLR 2022. [PDF], Mocycle-GAN: Unpaired Video-to-Video Translation. Wallace Lira, Johannes Merz, Daniel Ritchie, Daniel Cohen-Or, Hao Zhang. Model-based Occlusion Disentanglement for Image-to-image Translation. We use OpenPose to estimate pose of DeepFashion(HD). [PDF], DiscoGAN: Learning to Discover Cross-Domain Relations with Generative Adversarial Networks. ICPR 2021. Fine-grained Image-to-Image Transformation towards Visual Recognition. 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] [Tensorflow] [AFHQ Data] arxiv 2022. Ying-Cong Chen, Jiaya Jia. File "/home/kas/CoCosNet-v2/data/init.py", line 33, in create_dataloader [PDF] UCTGAN: Diverse Image Inpainting Based on Unsupervised Cross-Space Translation. markdown format: RuntimeError: [enforce fail at C:\cb\pytorch_1000000000000\work\caffe2\serialize\inline_container.cc:231] . @InProceedings{Zhou_2021_CVPR, [PDF] Xingran Zhou, Bo Zhang, Ting Zhang, Pan Zhang, Jianmin Bao, Dong Chen, Zhongfei Zhang, Fang Wen. We use 8 32GB Tesla V100 GPUs to train the network. awesome image-to-image translation A collection of resources on image-to-image translation. [PDF], Graph2Pix: A Graph-Based Image to Image Translation Framework. The test results are as follows. [PDF] [Github], Image-to-Image Translation with Low Resolution Conditioning. [PDF] [GitHub] . Wen Liu, Zhixin Piao, Zhi Tu, Wenhan Luo, Lin Ma, Shenghua Gao. Abstract: We present the full-resolution correspondence learning for cross-domain images, which aids image translation. Steven Liu, Tongzhou Wang, David Bau, Jun-Yan Zhu, Antonio Torralba. Sym-Parameterized Dynamic Inference for Mixed-Domain Image Translation. First download the Deepfashion dataset (high resolution version) from this link. Yazeed Alharbi, Neil Smith, Peter Wonka. (oral) CoMoGAN: Continuous Model-guided Image-to-image Translation. Xingran Zhou, Bo Zhang, Ting Zhang, Pan Zhang, Jianmin Bao, Dong Chen, Zhongfei Zhang, Fang Wen. We adopt a hierarchical strategy that uses the correspondence from coarse level to guide the fine levels. [PDF], Learning to Caricature via Semantic Shape Transform. Ibrahim Batuhan Akkaya, Ugur Halici. [PDF], DeepI2I: Enabling Deep Hierarchical Image-to-Image Translation by Transferring from GANs. Assaf Shocher, Shai Bagon, Phillip Isola, Michal Irani. Somi Jeong, Youngjung Kim, Eungbean Lee, Kwanghoon Sohn. Unsupervised Sketch-to-Photo Synthesis. Contributing If you think I have missed out on something (or) have any suggestions (papers, implementations and other resources), feel free to pull a request.