instance.initialize(opt) file in archive is not in a subdirectory archive/: latest_net_D.pth, Traceback (most recent call last): Qiusheng Huang, Zhilin Zheng, Xueqi Hu, Li Sun, Qingli Li. Long-Term Temporally Consistent Unpaired Video Translation from Simulated Surgical 3D Data. . [PDF] awesome image-to-image translation A collection of resources on image-to-image translation. TPAMI 2020. Guided Image-to-Image Translation With Bi-Directional Feature Transformation. Long Zhuo, Guangcong Wang, Shikai Li, Wayne Wu, Ziwei Liu. Jianxin Lin, Yingxue Pang, Yingce Xia, Zhibo Chen, Jiebo Luo. [PDF] [Github] We adopt a hierarchical strategy that uses the correspondence from coarse level to guide the finer levels with the proposed GRU-assisted PatchMatch. Wenju Xu, Guanghui Wang. Andrs Romero, Pablo Arbelez, Luc Van Gool, Radu Timofte. arxiv 2022. [PDF][Github] IJCNN 2019. Experiments on diverse translation tasks show that CoCosNet v2 performs considerably better than state-of-the-art literature on producing high-resolution images. 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. Samarth Shukla, Andrs Romero, Luc Van Gool, Radu Timofte. [PDF] Download the pretrained VGG model from this link, move it to vgg/ folder. DSI2I: Dense Style for Unpaired Image-to-Image Translation. arxiv 2021. Che-Tsung Lin, Yen-Yi Wu, Po-Hao Hsu, Shang-Hong Lai. Dongyeun Lee, Jae Young Lee, Doyeon Kim, Jaehyun Choi, Junmo Kim. [PDF], Unsupervised multi-modal Styled Content Generation. 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. Domain Adaptive Image-to-image Translation. [PDF] [Github] [PDF], DCMIT: Unsupervised Multi-Domain Multimodal Image-to-Image Translation with Explicit Domain-Constrained Disentanglement. [PDF] [Github], Image-to-Image Translation with Low Resolution Conditioning. The proposed GRU-assisted PatchMatch is fully Modulated Contrast for Versatile Image Synthesis. [Github] [PDF], Face-Age-cGAN: Face Aging With Conditional Generative Adversarial Networks. Context enhancement is critical for night vision (NV) applications, BMVC 2020. Experiments on diverse translation tasks show that CoCosNet v2 performs considerably better than state-of-the-art literature on producing high-resolution images. Describe What to Change: A Text-guided Unsupervised Image-to-Image Translation Approach. [PDF] [Github], A Domain Gap Aware Generative AdversarialNetwork for Multi-domain Image Translation. [PDF] [Github], The Surprising Effectiveness of Linear Unsupervised Image-to-Image Translation. I'm planning a future in-depth post with an image processing/deep learning expert, where we'll be getting into the weeds Closing the Loop: Joint Rain Generation and Removal via Disentangled Image Translation. [PDF] [PDF], Full-Resolution Correspondence Learning for Image Translation. Have in mind that things like what and when you publish will change the results you get. [PDF], CLADE: Rethinking Spatially-Adaptive Normalization. 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. [PDF] ICML 2017. Since the original resolution of DeepfashionHD is 750x1101, we use a Python script to process the images to the resolution 512x512. [PDF], Stylized Neural Painting. Moab Arar, Yiftach Ginger, Dov Danon, Amit H. Bermano, Daniel Cohen-Or. Ying-Cong Chen, Xiaogang Xu, Zhuotao Tian, Jiaya Jia. @InProceedings{Zhou_2021_CVPR, Enjoy Your Editing: Controllable GANs for Image Editing via Latent Space Navigation. CollaGAN : Collaborative GAN for Missing Image Data Imputation. ICCV 2019 Workshops. 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. We present the full-resolution correspondence learning for cross-domain images, which aids image translation. Homomorphic Interpolation Network for Unpaired Image-to-image Translation. [PDF] [Project] [Github], Palette: Image-to-Image Diffusion Models. ICCV 2021 Workshop on AIM. Experiments on diverse translation tasks show our approach performs considerably better than state-of-the-arts on producing high-resolution images. Sai Bi, Kalyan Sunkavalli, Federico Perazzi, Eli Shechtman, Vladimir G. Kim, Ravi Ramamoorthi. [PDF] For more information, please see our SEAN: Image Synthesis with Semantic Region-Adaptive Normalization. Explicitly Disentangling Image Content From Translation And Rotation With Spatial-VAE. Elad Richardson, Yuval Alaluf, Or Patashnik, Yotam Nitzan, Yaniv Azar, Stav Shapiro, Daniel Cohen-Or. [PDF] isd194 staff calendar. At each hierarchy, the correspondence can be efficiently computed via PatchMatch that iteratively leverages the matchings from the neighborhood. [PDF] [Github], Asymmetric GAN for Unpaired Image-to-Image Translation. translation, full-resolution semantic correspondence can be established in an TUNIT: Rethinking the Truly Unsupervised Image-to-Image Translation. [PDF] Ziwei Luo, Jing Hu, Xin Wang, Siwei Lyu, Bin Kong, Youbing Yin, Qi Song, Xi Wu. TransferI2I: Transfer Learning for Image-to-Image Translation From Small Datasets. Ruobing Zheng, Ze Luo, Baoping Yan. info@gurukoolhub.com +1-408-834-0167 Subhankar Roy, Aliaksandr Siarohin, Enver Sangineto, Nicu Sebe, Elisa Ricci. booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, [PDF], Deliberation Learning for Image-to-Image Translation. Make sure you have prepared the DeepfashionHD dataset as the instruction. Taeksoo Kim, Moonsu Cha, Hyunsoo Kim, Jung Kwon Lee, Jiwon Kim. Dominik Rivoir, Micha Pfeiffer, Reuben Docea, Fiona Kolbinger, Carina Riediger, Jrgen Weitz, Stefanie Speidel. Xiaoming Yu, Yuanqi Chen, Shan Liu, Thomas Li, Ge Li. We also thank SPADE and RAFT. Note the file name is img_highres.zip. [PDF] [Project] [Github] [Data] Yifang Men, Yiming Mao, Yuning Jiang, Wei-Ying Ma, Zhouhui Lian. Jiaming Song, ICLR 2017. Springer Machine Vision and Applications 2021. Dilara Gokay, Enis Simsar, Efehan Atici, Alper Ahmetoglu, Atif Emre Yuksel, Pinar Yanardag. TSIT: A Simple and Versatile Framework for Image-to-Image Translation. Few-shot Image Generation via Cross-domain Correspondence. Shih-En Wei, Jason Saragih, Tomas Simon, Adam W. Harley, Stephen Lombardi, Michal Perdoch, Alexander Hypes, Dawei Wang, Hernan Badino, Yaser Sheikh. [PDF] Attentive Normalization for Conditional Image Generation. Rui Liu, Yixiao Ge, Ching Lam Choi, Xiaogang Wang, Hongsheng Li. At each hierarchy, the correspondence can be efficiently computed via PatchMatch that iteratively leverages the matchings from the neighborhood. [PDF] [PDF] [Github], Single Image Texture Translation for Data Augmentation. [PDF], Pretraining is All You Need for Image-to-Image Translation. 1st row: exemplar images, 2nd row: generated images. [PDF] We present the full-resolution correspondence learning for cross-domain images, which aids image translation. [PDF][Github] Taewon Kang, Soohyun Kim, Sunwoo Kim, Seungryong Kim. [PDF] [Github], AniGAN: Style-Guided Generative Adversarial Networks for Unsupervised Anime Face Generation. Finally create the root folder deepfashionHD, and move the folders img and pose below it. Yanwu Xu, Shaoan Xie, Wenhao Wu, Kun Zhang, Mingming Gong, Kayhan Batmanghelich. [PDF][Project] [Unofficial] 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], A Novel Application of Image-to-Image Translation: Chromosome Straightening Framework by Learning from a Single Image. Yiming Gao, Jiangqin Wu. 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. arxiv 2020. You can find the script in data/preprocess.py. A Closed-Form Solution to Universal Style Transfer. Mingcong Liu, Qiang Li, Zekui Qin, Guoxin Zhang, Pengfei Wan, Wen Zheng. Attention-Aware Multi-Stroke Style Transfer. Guansong Lu, Zhiming Zhou, Yuxuan Song, Kan Ren, Yong Yu. Zhiwei Jia, Bodi Yuan, Kangkang Wang, Hong Wu, David Clifford, Zhiqiang Yuan, Hao Su. Not Just Compete, but Collaborate: Local Image-to-Image Translation via Cooperative Mask Prediction. arxiv 2022. Blind Image Decomposition is a novel task. EG-UNIT: Exemplar Guided Unsupervised Image-to-Image Translation with Semantic Consistency. Ying-Cong Chen, Xiaogang Xu and Jiaya Jia. Prajwal Renukanand, Rudrabha Mukhopadhyay, Jerin Philip, Abhishek Jha, Vinay Namboodiri and C.V. Jawahar. Hao Tang, Dan Xu, Yan Yan, Jason J. Corso, Philip H.S. 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". [PDF] [Github]. Wenshuang Liu, Wenting Chen, Linlin Shen. ICCV 2017. [PDF] Zhenliang He, Wangmeng Zuo, Meina Kan, Shiguang Shan, Xilin Chen. [PDF], Complementary, Heterogeneous and Adversarial Networks for Image-to-Image Translation. TIP 2019 (ACCV 2018 Extension) [PDF] [GitHub], SMIT: Stochastic Multi-Label Image-to-Image Translation. What's the problem? PuppetGAN: Cross-domain Image Manipulation by Demonstration. Yi Wang, Ying-Cong Chen, Xiangyu Zhang, Jian Sun and Jiaya Jia. Transactions on Visualizations and Computer Graphics. [PDF], OT-CycleGAN: Guiding the One-to-one Mapping in CycleGAN via Optimal Transport. [PDF], Unpaired Image Translation via Adaptive Convolution-based Normalization. [PDF], Recapture as You Want. Ran Yi, Yong-Jin Liu, Yu-Kun Lai, Paul Rosin. You can set batchSize to 16, 8 or 4 with fewer GPUs and change gpu_ids. [PDF][Github][Project] We adopt a hierarchical strategy that uses the correspondence from coarse level to guide the fine levels. Liquid Warping GAN: A Unified Framework for Human Motion Imitation, Appearance Transfer and Novel View Synthesis. The inference results are saved in the folder checkpoints/deepfashionHD/test. arxiv 2021. [PDF] [PDF] [Github] [PDF], Network-to-Network Translation with Conditional Invertible Neural Networks. full resolution correspondence learning for image translation. IJCAI 2022. [PDF] [Project] [Github], Distilling GANs with Style-Mixed Triplets for X2I Translation with Limited Data. 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. [PDF] [Video] [Github] The proposed CoCosNet v2, a GRU-assisted PatchMatch approach, is fully differentiable and highly efficient. Samuel Lavoie-Marchildon, Sebastien Lachapelle, Mikoaj Bikowski, Aaron Courville, Yoshua Bengio, R Devon Hjelm. Experiments on diverse translation tasks show our approach performs considerably better than state-of-the-arts on producing high-resolution images. Lingke Kong, Chenyu Lian, Detian Huang, Zhenjiang Li, Yanle Hu, Qichao Zhou. [PDF], Contrastive Feature Loss for Image Prediction. Hezhen Hu, Weilun Wang, Wengang Zhou, Weichao Zhao, Houqiang Li. Xinpeng Xie, Jiawei Chen, Yuexiang Li, Linlin Shen, Kai Ma, Yefeng Zheng. (oral) HiSD: Image-to-image Translation via Hierarchical Style Disentanglement. [PDF], AttentionGAN: Attention-Guided Generative Adversarial Networks for Unsupervised Image-to-Image Translation. Yuntong Ye, Yi Chang, Hanyu Zhou, Luxin Yan. Image-To-Image Translation via Group-Wise Deep Whitening-And-Coloring Transformation. Abstract We present the full-resolution correspondence learning for cross-domain images, which aids image translation. Nazar Khan, Arbish Akram, Arif Mahmood, Sania Ashraf, Kashif Murtaza. World-Consistent Video-to-Video Synthesis. Aviv Gabbay, Yedid Hoshen. [PDF] [PDF] [Github] [PDF], SAVI2I: Continuous and Diverse Image-to-Image Translation via Signed Attribute Vectors. pages = {11465-11475} Yingruo. We present the full-resolution correspondence learning for cross-domain images, which aids image translation. Omry Sendik, Dani Lischinski, Daniel Cohen-Or. contact dblp; Xingran Zhou et al. Note the file name is img_highres.zip. Within each van der Ouderaa, Daniel E. Worrall. IJCV 2020. 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. IJCV 2019. Liqian Ma, Zhe Lin, Connelly Barnes, Alexei A. Efros, Jingwan Lu. Marginal Contrastive Correspondence for Guided Image Generation. Yahui Liu, Yajing Chen, Linchao Bao, Nicu Sebe, Bruno Lepri, Marco De Nadai. Bing Li, Yuanlue Zhu, Yitong Wang, Chia-Wen Lin, Bernard Ghanem, Linlin Shen. Tamar Rott Shaham, Michael Gharbi, Richard Zhang, Eli Shechtman, Tomer Michaeli. This demo came about for two reasons: There are quite a few questions on MATLAB answers about image-to-image deep learning problems. [PDF] [Github], Exploring Generative Adversarial Networks for Image-to-Image Translation in STEM Simulation. In each hierarchy, the correspondence can be efficiently computed via PatchMatch that iteratively leverages the matchings from the neighborhood. Ali Koksal, Shijian Lu. [PDF] [PDF] [Official Tensorflow] [Pytorch] [photo2cartoon] [Morph UGATIT]. [PDF] [Project] [Github], Masked Linear Regression for Learning Local Receptive Fields for Facial Expression Synthesis. [PDF] Xueqi Hu, Xinyue Zhou, Qiusheng Huang, Zhengyi Shi, Li Sun, Qingli Li. [PDF] [Github], GAIT: Gradient Adjusted Unsupervised Image-to-Image Translation. [PDF], AttGAN: Facial Attribute Editing by Only Changing What You Want. [PDF] Reference-Based Sketch Image Colorization using Augmented-Self Reference and Dense Semantic Correspondence. Multi-mapping Image-to-Image Translation via Learning Disentanglement. [PDF], Fix the Noise: Disentangling Source Feature for Transfer Learning of StyleGAN. Experiments on diverse translation tasks show our approach performs considerably better than state-of-the-arts on producing high-resolution . [PDF] [Project], Multi-Domain Image-to-Image Translation with Adaptive Inference Graph. [PDF][Project][Github] Dongwook Lee, Junyoung Kim, Won-Jin Moon, Jong Chul Ye. Ming-Yu Liu, Xun Huang, Arun Mallya, Tero Karras, Timo Aila, Jaakko Lehtinen, Jan Kautz. Xingran Zhou, Bo Zhang, Ting Zhang, Pan Zhang, Jianmin Bao, Dong Chen, Zhongfei Zhang, Fang Wen. Hao Tang, Dan Xu, Hong Liu, Nicu Sebe. Fangneng Zhan, Yingchen Yu, Rongliang Wu, Kaiwen Cui, Aoran Xiao, Shijian Lu, Ling Shao. [PDF] [PDF] [Project] [Github], Lipschitz Regularized CycleGAN for Improving Semantic Robustness in Unpaired Image-to-image Translation. [PDF] [Github], SAM: Only a Matter of Style-Age Transformation Using a Style-Based Regression Model. Translation, Image Translation by Latent Union of Subspaces for Cross-Domain Plaque [PDF], Unpaired Image-to-Image Translation via Latent Energy Transport. [PDF], DiffGAR: Model-Agnostic Restoration from Generative Artifacts Using Image-to-Image Diffusion Models. Dina Bashkirova, Ben Usman, Kate Saenko. Yu-Jie Chen, Shin-I Cheng, Wei-Chen Chiu, Hung-Yu Tseng, Hsin-Ying Lee. deepfashion_ref.txt, deepfashion_ref_test.txt and deepfashion_self_pair.txt are the paring lists used in our experiment. WCVA 2021 Workshop at ICVGIP. CVPR 2021, oral presentation We use 8 32GB Tesla V100 GPUs to train the network. Feedback and contributions are welcome! [PDF] [Github] Gihyun Kwon, Jong Chul Ye. Muyang Li, Ji Lin, Yaoyao Ding, Zhijian Liu, Jun-Yan Zhu, and Song Han. Shani Gamrian, Yoav Goldberg. Tianyu He, Yingce Xia, Jianxin Lin, Xu Tan, Di He, Tao Qin, Zhibo Chen. [PDF] self.ref_dict, self.train_test_folder = self.get_ref(opt) CUT: Contrastive Learning for Unpaired Image-to-Image Translation. [PDF], MatchGAN: A Self-Supervised Semi-Supervised Conditional Generative Adversarial Network. [PDF] [Github], LSC-GAN: Latent Style Code Modeling for Continuous Image-to-image Translation. [PDF] [Project] [Github] [TensorFlow], pix2pix: Image-to-Image Translation with Conditional Adversarial Networks. Hanbit Lee, Jinseok Seol, Sang-goo Lee. [ paper ] [ code ] [ bibtex] Pan Zhang, Bo Zhang, Ting Zhang, Dong Chen, Yong Wang, Fang Wen. [PDF] Konstantinos Vougioukas, Stavros Petridis, Maja Pantic. Multimodal Style Transfer via Graph Cuts. 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. Junsoo Lee, Eungyeup Kim, Yunsung Lee, Dongjun Kim, Jaehyuk Chang, Jaegul Choo. Yang Chen, Yingwei Pan, Ting Yao, Xinmei Tian, Tao Mei. ACCV 2020. espe We present a novel method for exemplar-based image translation, called Can anyone please help me in solving this. The-Phuc Nguyen, Stphane Lathuilire, Elisa Ricci. arxiv 2019. IJCNN 2020. UCTGAN: Diverse Image Inpainting Based on Unsupervised Cross-Space Translation. 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). arxiv 2020. LPTN: High-Resolution Photorealistic Image Translation in Real-Time: A Laplacian Pyramid Translation Network. [PDF], U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation. Unsupervised Multi-Modal Image Registration via Geometry Preserving Image-to-Image Translation. WACV 2020. Siyuan Li, Semih Gnel, Mirela Ostrek, Pavan Ramdya, Pascal Fua, Helge Rhodin. PISE: Person Image Synthesis and Editing with Decoupled GAN. [PDF] [Github] arxiv 2020. [PDF] Guillaume Couairon, Asya Grechka, Jakob Verbeek, Holger Schwenk, Matthieu Cord. If you use this code for your research, please cite our papers. TraVeLGAN: Image-To-Image Translation by Transformation Vector Learning. Unsupervised Video-to-Video Translation. MICCI Workshop 2021. Mu Cai, Hong Zhang, Huijuan Huang, Qichuan Geng, Yixuan Li, Gao Huang. arxiv 2020. Now the the directory structure is like: The inference results are saved in the folder checkpoints/deepfashionHD/test. [PDF] [Github], Unsupervised Image-to-Image Translation via Pre-trained StyleGAN2 Network. Teachers Do More Than Teach: Compressing Image-to-Image Models. Joonyoung Song, Jong Chul Ye. arxiv 2021. [PDF], Breaking the Dilemma of Medical Image-to-image Translation. [PDF] [Github] Boyi Li, Yin Cui, Tsung-Yi Lin, Serge Belongie. [PDF] [Project] [Github] Feedback and contributions are welcome! [PDF], Gated SwitchGAN for multi-domain facial image translation. Today I'd like to talk about the basic concepts of setting up a network to train on an image-to-image regression problem. We adopt a hierarchical strategy that uses the correspondence from coarse level to guide the fine levels. [PDF] [GitHub] For more information, FAU Implementation of the paper: Facial Action Unit Intensity Estimation via Semantic Correspondence Learning with Dynamic Graph Convolution. We adopt a hierarchical strategy that Liyun Zhang, Photchara Ratsamee, Bowen Wang, Zhaojie Luo, Yuki Uranishi, Manabu Higashida, Haruo Takemura. and our Yuan Xue, Zihan Zhou, Xiaolei Huang. Arbish Akram and Nazar Khan. The proposed CoCosNet v2, a GRU-assisted PatchMatch approach, is fully differentiable and highly efficient. ACM MM 2019. Eitan Richardson, Yair Weiss. Vector Quantized Image-to-Image Translation. From Design Draft to Real Attire: Unaligned Fashion Image Translation. Matthew Amodio, Smita Krishnaswamy. arxiv 2022. [PDF] Wenju Xu, Shawn Keshmiri, Guanghui Wang. RL-CycleGAN: Reinforcement Learning Aware Simulation-To-Real. Fei Yang, Yaxing Wang, Luis Herranz, Yongmei Cheng, Mikhail Mozerov. by each author's copyright. hierarchy, the correspondence can be efficiently computed via PatchMatch that 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() python train. arxiv 2021. BMVC 2021. [PDF][Github][Project] Weichen Fan, Jinghuan Chen, Jiabin Ma, Jun Hou, Shuai Yi. Memory-guided Unsupervised Image-to-image Translation. Lin Wang, Yujeong Chae, Kuk-Jin Yoon. 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. [PDF] Multimodal Structure-Consistent Image-to-Image Translation. QS-Attn: Query-Selected Attention for Contrastive Learning in I2I Translation. Hsin-Ying Lee, Hung-Yu Tseng, Qi Mao, Jia-Bin Huang, Yu-Ding Lu, Maneesh Singh, Ming-Hsuan Yang. Yunfei Liu, Haofei Wang, Yang Yue, Feng Lu. We plan to release the training code. [PDF] [Project] [Github], Towards Automatic Face-to-Face Translation. [PDF], FairfaceGAN: Fairness-aware Facial Image-to-Image Translation. Ori Nizan, Ayellet Tal. arxiv 2021. Po-Wei Wu, Yu-Jing Lin, Che-Han Chang, Edward Y. Chang, Shih-Wei Liao. [PDF] [Github] [PDF], Translate the Facial Regions You Like Using Region-Wise Normalization. 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. 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. Xuan Su, Does this mean the pth file was corrupted? differentiable and highly efficient. Jie Hu, Rongrong Ji, Hong Liu, Shengchuan Zhang, Cheng Deng, Qi Tian. Neural Wireframe Renderer: Learning Wireframe to Image Translations. Zekang Chen, Jia Wei, Rui Li. [PDF], Contrastive Learning for Unsupervised Image-to-Image Translation. RABIT: Bi-level Feature Alignment for Versatile Image Translation and Manipulation. [PDF] Ondej Jamrika, rka Sochorov, Ondej Texler, Michal Luk, Jakub Fier, Jingwan Lu, Eli Shechtman, Daniel Skora. Huiyuan Fu, Ting Yu, Xin Wang, Huadong Ma. Shuang Li, Bingfeng Han, Zhenjie Yu, Chi Harold Liu, Kai Chen, Shuigen Wang. Raul Gomez, Yahui Liu, Marco De Nadai, Dimosthenis Karatzas, Bruno Lepri, Nicu Sebe. Figure 10: Pose-to-body image translation results at resolution 512 512. [PDF] [Project] [Github] 10 25 Australia Oceania Place 25 comments Best kalmia440 4 yr. Move the models below the folder checkpoints/deepfashionHD. Diversity-Sensitive Conditional Generative Adversarial Networks. Matteo Tomei, Marcella Cornia, Lorenzo Baraldi, Rita Cucchiara. A Style-aware Discriminator for Controllable Image Translation. Yuan Yao, Jianqiang Ren, Xuansong Xie, Weidong Liu, Yong-Jin Liu, Jun Wang. Chitwan Saharia, William Chan, Huiwen Chang, Chris A. Lee, Jonathan Ho, Tim Salimans, David J. [PDF] [Github], Unsupervised Generative Adversarial Networks With Cross-Model Weight Transfer Mechanism for Image-to-Image Translation. Wen Liu, Zhixin Piao, Jie Min, Wenhan Luo, Lin Ma, Shenghua Gao. [PDF] [Github], ZUNIT: Toward Zero-Shot Unsupervised Image-to-Image Translation. [PDF], RL-GAN: Transfer Learning for Related Reinforcement Learning Tasks via Image-to-Image Translation. Thank you and wish you success in your scientific research! Learning to Cartoonize Using White-box Cartoon Representations. [PDF], Few-shot Semantic Image Synthesis Using StyleGAN Prior. Yazeed Alharbi, Neil Smith, Peter Wonka. [PDF] [Github] [Project] Xihui Liu, Guojun Yin, Jing Shao, Xiaogang Wang, Hongsheng Li. NeurIPS 2021. #art #artist #anime #cool #meatcanyon #hashtag #fyp. [PDF], SuperStyleNet: Deep Image Synthesis with Superpixel Based Style Encoder. Multi-Curve Translator for High-Resolution Photorealistic Image Translation. NICE: Reusing Discriminators for Encoding: Towards Unsupervised 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. Yueqin Yin, Lianghua Huang, Yu Liu, Kaiqi Huang. [PDF] [Github], Stochastic Actor-Executor-Critic for Image-to-Image Translation. Pauliina Paavilainen, Saad Ullah Akram, Juho Kannala. AAAI 2021. IrwGAN: Unaligned Image-to-Image Translation by Learning to Reweight. [PDF] [Project] Pan Zhang, Bo Zhang, Dong Chen, Lu Yuan, Fang Wen. Experiments on diverse translation tasks show that CoCosNet v2 performs considerably better than state-of-the-art literature on producing high-resolution images. [PDF] [Project] [Github] [PDF] [PDF] We adopt a hierarchical strategy that uses the correspondence from coarse level to guide the finer levels. Note that --dataroot parameter is your DeepFashionHD dataset root, e.g. Yu Lin, Yigong Wang, Yifan Li, Yang Gao, Zhuoyi Wang, Latifur Khan. DivCo: Diverse Conditional Image Synthesis via Contrastive Generative Adversarial Network. CVPR 2021 Workshop on NTIRE. [PDF] [PDF][Github] You signed in with another tab or window. [PDF] [Github], PI-Trans: Parallel-ConvMLP and Implicit-Transformation Based GAN for Cross-View Image Translation. [PDF] arxiv 2020. Jie Cao, Luanxuan Hou, Ming-Hsuan Yang, Ran He, Zhenan Sun. arxiv 2020. CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation, This is a recurring payment that will happen monthly, If you exceed more than 500 images, they will be charged at a rate of $5 per 500 images. By rejecting non-essential cookies, Reddit may still use certain cookies to ensure the proper functionality of our platform. arxiv 2020. [PDF] Weilun Wang, Wengang Zhou, Jianmin Bao, Dong Chen, Houqiang Li. [PDF] In each This material is presented to ensure timely dissemination of scholarly and technical work. You can find the script in data/preprocess.py. Bibliographic details on CoCosNet v2: Full-Resolution Correspondence Learning for 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. by arxiv 2022. ICCV 2017. Zheng Ding, Yifan Xu, Weijian Xu, Gaurav Parmar, Yang Yang, Max Welling, Zhuowen Tu. 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], Conditional Invertible Neural Networks for Diverse Image-to-Image Translation. SPatchGAN: A Statistical Feature Based Discriminator for Unsupervised Image-to-Image Translation. [PDF] [Github] [PDF], Attention-Based Spatial Guidance for Image-to-Image Translation. IJCV 2022.

Jamestown High School Football Score, Police Dispatcher Jobs Massachusetts, Articles F