(we used Pytorch 1.7.0 in our experiments). arxiv 2022. Privacy Policy. Diversity-Sensitive Conditional Generative Adversarial Networks. markdown format: [PDF] [GitHub] [Github] [PDF]. Deblina Bhattacharjee, Seungryong Kim, Guillaume Vizier, and Mathieu Salzmann. We use this model to calculate training loss. [PDF] [PDF] [Github], DRIT++: Diverse Image-to-Image Translation via Disentangled Representations. Today I'd like to talk about the basic concepts of setting up a network to train on an image-to-image regression problem. Paper | Slides Abstract Kuniaki Saito, Kate Saenko, Ming-Yu Liu. [PDF], Image-to-Image Translation with Text Guidance. Co-Evolutionary Compression for Unpaired Image Translation. [PDF], Learning to Caricature via Semantic Shape Transform. [PDF] Image and Vision Computing 2020. We present the full-resolution correspondence learning for cross-domain images, which aids image translation. [PDF] [Project] [Github], Lipschitz Regularized CycleGAN for Improving Semantic Robustness in Unpaired Image-to-image Translation. Model-based Occlusion Disentanglement for Image-to-image Translation. Now the the directory structure is like: The inference results are saved in the folder checkpoints/deepfashionHD/test. RIFT: Disentangled Unsupervised Image Translation via Restricted Information Flow. CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation [PDF] [PDF] Weichen Fan, Jinghuan Chen, Jiabin Ma, Jun Hou, Shuai Yi. Can anyone please help me in solving this. deepfashion_ref.txt, deepfashion_ref_test.txt and deepfashion_self_pair.txt are the paring lists used in our experiment. Qiusheng Huang, Xueqi Hu, Li Sun, Qingli Li. [PDF] [Github] We adopt a hierarchical strategy that uses the correspondence from coarse level to guide the fine levels. Peiye Zhuang, Oluwasanmi Koyejo, Alexander G. Schwing. BMVC 2020. We adopt a hierarchical strategy that uses the correspondence from coarse level to guide the finer levels. From Design Draft to Real Attire: Unaligned Fashion Image Translation. [PDF], Online Exemplar Fine-Tuning for Image-to-Image Translation. Multi-mapping Image-to-Image Translation via Learning Disentanglement. Image-to-Image Regression Artificial Intelligence - Deep Learning [PDF] [PDF], Implicit Pairs for Boosting Unpaired Image-to-Image Translation. Jonghuyn Kim, Gen Li, Cheolkon Jung, Joongkyu Kim. Virtual reality (VR) is a simulated experience that employs pose tracking and 3D near-eye displays to give the user an immersive feel of a virtual world. Robin Rombach, Patrick Esser, Bjrn Ommer. [PDF] arxiv 2020. [PDF] EGSDE: Unpaired Image-to-Image Translation via Energy-Guided Stochastic Differential Equations. [PDF] [Github], Separating Content and Style for Unsupervised Image-to-Image Translation. [PDF] Within each Sai Bi, Kalyan Sunkavalli, Federico Perazzi, Eli Shechtman, Vladimir G. Kim, Ravi Ramamoorthi. If you use this code for your research, please cite our papers. [PDF][Github][Project] CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation We adopt a hierarchical strategy that uses the correspondence from coarse level to guide the finer levels. [PDF] [Project] [Github] First download the Deepfashion dataset (high resolution version) from this link. TOG 2020. CouncilGAN: Breaking The Cycle: Colleagues Are All You Need. [PDF] [PDF], Image to Image Translation for Domain Adaptation.. Cant Login To SunpassDon't miss. For more information, FAU Implementation of the paper: Facial Action Unit Intensity Estimation via Semantic Correspondence Learning with Dynamic Graph Convolution. arxiv 2020. [PDF] [Github]. Then run the following command. 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. Gihyun Kwon, Jong Chul Ye. [PDF] [Github], Single Image Texture Translation for Data Augmentation. Mingcong Liu, Qiang Li, Zekui Qin, Guoxin Zhang, Pengfei Wan, Wen Zheng. BMVC 2021. Tao Yang, Peiran Ren, Xuansong Xie, Xiansheng Hua, Lei Zhang. [PDF] [Project] [Github] [PDF] [Github] [PDF], Mocycle-GAN: Unpaired Video-to-Video Translation. Yuval Alaluf, Or Patashnik, Daniel Cohen-Or. Homomorphic Interpolation Network for Unpaired Image-to-image Translation. [PDF][Github] author = {Zhou, Xingran and Zhang, Bo and Zhang, Ting and Zhang, Pan and Bao, Jianmin and Chen, Dong and Zhang, Zhongfei and Wen, Fang}, Hezhen Hu, Weilun Wang, Wengang Zhou, Weichao Zhao, Houqiang Li. Kwanyong Park, Sanghyun Woo, Dahun Kim, Donghyeon Cho, In So Kweon. Chuanxia Zheng, Tat-Jen Cham, Jianfei Cai. 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], TriGAN: Image-to-Image Translation for Multi-Source Domain Adaptation. A Closed-Form Solution to Universal Style Transfer. [Project] [Github] [PDF], IcGAN: Invertible Conditional GANs for Image Editing. [PDF], MixerGAN: An MLP-Based Architecture for Unpaired Image-to-Image Translation. sinners in the hands of an angry god analysis worksheet / bacnet object types table / bacnet object types table Also, welcome to refer to our CoCosNet v1: John was the first writer to have joined pythonawesome.com. LEED: Label-Free Expression Editing via Disentanglement. CVPR 2018. ICCV 2017. RelGAN: Multi-Domain Image-to-Image Translation via Relative Attributes. In each level, the correspondence can be efficiently computed via differentiable PatchMatch, followed by ConvGRU for recurrent refinement. Abstract: We present the full-resolution correspondence learning for cross-domain images, which aids image translation. [PDF] If the password is necessary, please contact this link to access the dataset. HiDT: High-Resolution Daytime Translation Without Domain Labels. [Github] [PDF], DTN: Unsupervised Cross-Domain Image Generation. Shani Gamrian, Yoav Goldberg. python test.py --name deepfashionHD --dataset_mode deepfashionHD --dataroot 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, When I am running the project from the following command. Lei Zhao, Qihang Mo, Sihuan Lin, Zhizhong Wang, Zhiwen Zuo, Haibo Chen, Wei Xing, Dongming Lu. However the primary functions of a logistics officer are listed below: Carry out packing, crating, and warehousing, and storage duties in preparation for site-specific program and shipment. Old Photo Restoration via Deep Latent Space Translation [PDF] [Project] [Github], Dual Contrastive Learning for Unsupervised Image-to-Image Translation. arxiv 2022. Download and unzip the results file. Pan Zhang - GitHub Pages [PDF] Po-Wei Wu, Yu-Jing Lin, Che-Han Chang, Edward Y. Chang, Shih-Wei Liao. TransGaGaGeometry-Aware Unsupervised Image To Image Translation. Yahui Liu, Enver Sangineto, Yajing Chen, Linchao Bao, Haoxian Zhang, Nicu Sebe, Bruno Lepri, Wei Wang, Marco De Nadai. [PDF] Yaxing Wang, Salman Khan, Abel Gonzalez-Garcia, Joost van de Weijer, Fahad Shahbaz Khan. Md Mahfuzur Rahman Siddiquee, Zongwei Zhou, Nima Tajbakhsh, Ruibin Feng, Michael B. Gotway, Yoshua Bengio, Jianming Liang. UNIST: Unpaired Neural Implicit Shape Translation Network. Zili Yi, Hao Zhang, Ping Tan, Minglun Gong. arxiv 2020. Helisa Dhamo, Azade Farshad, Iro Laina, Nassir Navab, Gregory D. Hager, Federico Tombari, Christian Rupprecht. Experiments on diverse translation tasks show our approach performs considerably better than state-of-the-arts on producing high-resolution images. You can simply get your CRN number from Mr. [PDF] [Project] Cross-domain Correspondence Learning for Exemplar-based Image - Medium Experiments on diverse translation tasks show that CoCosNet v2 performs considerably better than state-of-the-art literature on producing high . [PDF] [Github], AniGAN: Style-Guided Generative Adversarial Networks for Unsupervised Anime Face Generation. [PDF], DiscoGAN: Learning to Discover Cross-Domain Relations with Generative Adversarial Networks. translation, full-resolution semantic correspondence can be established in an 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. [PDF] [PDF] [Github] Full-Resolution Correspondence Learning for Image Translation and our Note the file name is img_highres.zip. arxiv 2021. [PDF] [arxiv] [project] [PDF] [Github] Fangneng Zhan, Yingchen Yu, Rongliang Wu, Jiahui Zhang, Shijian Lu, Changgong Zhang. Luigi Musto, Andrea Zinelli. Ali Koksal, Shijian Lu. Few-shot Image Generation via Cross-domain Correspondence. Lin Wang, Yujeong Chae, Kuk-Jin Yoon. Grigory Antipov, Moez Baccouche, Jean-Luc Dugelay. TraVeLGAN: Image-To-Image Translation by Transformation Vector Learning. First please install dependencies for the experiment: We recommend to install Pytorch version after Pytorch 1.6.0 since we made use of automatic mixed precision for accelerating. espe We present a novel method for exemplar-based image translation, called arxiv 2022. We adopt a hierarchical strategy that uses the correspondence from coarse level to guide the fine levels. Download the pretrained VGG model from this link, move it to vgg/ folder. Hao Tang, Dan Xu, Yan Yan, Jason J. Corso, Philip H.S. [PDF], Unpaired Image-to-Image Translation via Latent Energy Transport. DINO: A Conditional Energy-Based GAN for Domain Translation. Rinon Gal, Or Patashnik, Haggai Maron, Gal Chechik, Daniel Cohen-Or. SMIS: Semantically Multi-modal Image Synthesis. Does this mean the pth file was corrupted? astros vs yankees cheating. [PDF], Semantic Map Injected GAN Training for Image-to-Image Translation. In this paper, we address the problem of rain streaks removal in video by developing a self-learned rain streak removal method, which does not require any clean groundtruth images in the training process. 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] WACV 2020. Unsupervised Video-to-Video Translation. Mohamed Abderrahmen Abid, Ihsen Hedhli, Jean-Franois Lalonde, Christian Gagne. UNIT-DDPM: UNpaired Image Translation with Denoising Diffusion Probabilistic Models. [PDF] 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. [PDF], Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation. Elad Richardson, Yuval Alaluf, Or Patashnik, Yotam Nitzan, Yaniv Azar, Stav Shapiro, Daniel Cohen-Or. Tycho F.A. [PDF], CLADE: Rethinking Spatially-Adaptive Normalization. [PDF] CVPR 2017. IrwGAN: Unaligned Image-to-Image Translation by Learning to Reweight. Jun-Yan Zhu, Richard Zhang, Deepak Pathak, Trevor Darrell, Alexei A. Efros, Oliver Wang, Eli Shechtman. Matteo Tomei, Marcella Cornia, Lorenzo Baraldi, Rita Cucchiara. (we used Pytorch 1.7.0 in our experiments). Yanwu Xu, Shaoan Xie, Wenhao Wu, Kun Zhang, Mingming Gong, Kayhan Batmanghelich. Multi-Channel Attention Selection GAN With Cascaded Semantic Guidance for Cross-View Image Translation. [PDF] [PDF] [Github], SAM: Only a Matter of Style-Age Transformation Using a Style-Based Regression Model. PuppetGAN: Cross-domain Image Manipulation by Demonstration. [PDF], Frequency Domain Image Translation: More Photo-realistic, Better Identity-preserving. Shih-En Wei, Jason Saragih, Tomas Simon, Adam W. Harley, Stephen Lombardi, Michal Perdoch, Alexander Hypes, Dawei Wang, Hernan Badino, Yaser Sheikh. You can set batchSize to 16, 8 or 4 with fewer GPUs and change gpu_ids. Longquan Dai, Jinhui Tang. CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation CVPR 2021 Workshop. self.ref_dict, self.train_test_folder = self.get_ref(opt) Chen Gao, Si Liu, Ran He, Shuicheng Yan, Bo Li. [PDF], Pixel-based Facial Expression Synthesis. Scroll through all of the Frequently Asked Questions to see if any of them pertain to your complaint and click the. ICPR 2020. We present the full-resolution correspondence learning for cross-domain images, which aids image translation. Lingke Kong, Chenyu Lian, Detian Huang, Zhenjiang Li, Yanle Hu, Qichao Zhou. 250cc dragon custom chopper Learning to Predict Layout-to-image Conditional Convolutions for Semantic Image Synthesis. The proposed GRU-assisted PatchMatch is fully [PDF] [Github], Unsupervised Generative Adversarial Networks With Cross-Model Weight Transfer Mechanism for Image-to-Image Translation. Guanglei Yang, Hao Tang, Humphrey Shi, Mingli Ding, Nicu Sebe, Radu Timofte, Luc Van Gool, Elisa Ricci. A unique hashtag has the ability to make your message stand out, and. Shuai Yang, Liming Jiang, Ziwei Liu, Chen Change Loy. Ondej Jamrika, rka Sochorov, Ondej Texler, Michal Luk, Jakub Fier, Jingwan Lu, Eli Shechtman, Daniel Skora. Jiaming Song, IJCAI 2022. m Calcified plaque in the aorta and pelvic arteries is associated with cor Cross-domain Correspondence Learning for Exemplar-based Image [PDF] [Github], Improving Style-Content Disentanglement in Image-to-Image Translation. Xiaoming Yu, Yuanqi Chen, Shan Liu, Thomas Li, Ge Li. Ziqiang Zheng, Yang Wu, Xinran Han, Jianbo Shi. [PDF] Bi-level Feature Alignment for Versatile Image Translation and Chin-Yuan Yeh, Hsi-Wen Chen, Hong-Han Shuai, De-Nian Yang, Ming-Syan Chen. full resolution correspondence learning for image translation TuiGAN: Learning Versatile Image-to-Image Translation with Two Unpaired Images. ICCV Workshop 2021. [PDF], AttentionGAN: Attention-Guided Generative Adversarial Networks for Unsupervised Image-to-Image Translation. [PDF], GANILLA: Generative Adversarial Networks for Image to Illustration Translation. [PDF] solidarity - - . Download the pretrained model from this link. Xiaoyu Li, Bo Zhang, Jing Liao, Pedro V. Sander. Bing Li, Yuanlue Zhu, Yitong Wang, Chia-Wen Lin, Bernard Ghanem, Linlin Shen. [PDF][Github] Nazar Khan, Arbish Akram, Arif Mahmood, Sania Ashraf, Kashif Murtaza. We adopt a hierarchical strategy that uses the correspondence from coarse level to guide the fine levels. [PDF], A Novel Application of Image-to-Image Translation: Chromosome Straightening Framework by Learning from a Single Image. full resolution correspondence learning for image translation. [PDF], Domain Bridge for Unpaired Image-to-Image Translation and Unsupervised Domain Adaptation. [PDF] Tianyu He, Yingce Xia, Jianxin Lin, Xu Tan, Di He, Tao Qin, Zhibo Chen. }. [PDF] [Github], Stochastic Actor-Executor-Critic for Image-to-Image Translation. [PDF] [PDF] Taewon Kang, Soohyun Kim, Sunwoo Kim, Seungryong Kim. Carlos Rodriguez-Pardo, Elena Garces Fleet, Mohammad Norouzi. Niccol Machiavelli - Wikipedia [PDF] BMVC 2017. ASAPNet: Spatially-Adaptive Pixelwise Networks for Fast Image Translation. Trier > Home. File "/home/kas/CoCosNet-v2/data/init.py", line 33, in create_dataloader 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. "CoCosNet v2: Full-Resolution Correspondence Learning for Image - DBLP Sunhee Hwang, Sungho Park, Dohyung Kim, Mirae Do, Hyeran Byun. Developing shipment plans as per product availability and request from customers. Ming Lu, Hao Zhao, Anbang Yao, Yurong Chen, Feng Xu, Li Zhang. [PDF], Controllable Image-to-Video Translation: A Case Study on Facial Expression Generation. Huiyuan Fu, Ting Yu, Xin Wang, Huadong Ma. Qimin Chen, Johannes Merz, Aditya Sanghi, Hooman Shayani, Ali Mahdavi-Amiri, Hao (Richard) Zhang. Yang Zhao, Changyou Chen. Xinpeng Xie, Jiawei Chen, Yuexiang Li, Linlin Shen, Kai Ma, Yefeng Zheng. Fast-Vid2Vid: Spatial-Temporal Compression for Video-to-Video Synthesis. Tengfei Wang, Ting Zhang, Bo Zhang, Hao Ouyang, Dong Chen, Qifeng Chen, Fang Wen. Attentive Normalization for Conditional Image Generation. Image-to-image translation. full resolution correspondence learning for image translation. weihaox/awesome-image-translation - GitHub 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. [PDF] [Github], DEEPSim: Deep Single Image Manipulation. Jie Hu, Rongrong Ji, Hong Liu, Shengchuan Zhang, Cheng Deng, Qi Tian. Model-Aware Gesture-to-Gesture Translation. Unpaired Image Translation via Vector Symbolic Architectures. [PDF], Image-to-Image Translation with Multi-Path Consistency Regularization. [PDF] [Project] [Github], Liquid Warping GAN with Attention: A Unified Framework for Human Image Synthesis. AAAI 2019. 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. Linfeng Zhang, Xin Chen, Runpei Dong, Kaisheng Ma. [PDF], Contrastive Feature Loss for Image Prediction. Modulated Contrast for Versatile Image Synthesis. Ivan Anokhin, Pavel Solovev, Denis Korzhenkov, Alexey Kharlamov, Taras Khakhulin, Gleb Sterkin, Alexey Silvestrov, Sergey Nikolenko, Victor Lempitsky. Liquid Warping GAN: A Unified Framework for Human Motion Imitation, Appearance Transfer and Novel View Synthesis. Deformation-aware Unpaired Image Translation for Pose Estimation on Laboratory Animals. Tamar Rott Shaham, Michael Gharbi, Richard Zhang, Eli Shechtman, Tomer Michaeli. full resolution correspondence learning for 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. Bo Zhang - Microsoft Research Asia [Project] [Github] [pytorch-CycleGAN-and-pix2pix] [PDF], BicycleGAN: Toward Multimodal Image-to-Image Translation. title = {CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation}, Transactions on Visualizations and Computer Graphics. [PDF], Beyond a Video Frame Interpolator: A Space Decoupled Learning Approach to Continuous Image Transition. [PDF] [Supplementary Materials] [Github] Select the boxes below to learn more details about tolls. Balaram Singh Kshatriya, Shiv Ram Dubey, Himangshu Sarma, Kunal Chaudhary, Meva Ram Gurjar, Rahul Rai, Sunny Manchanda. Shaoan Xie, Mingming Gong, Yanwu Xu, Kun Zhang. View TikTik videos for #anime Overal Posts 2. Weilun Wang, Wengang Zhou, Jianmin Bao, Dong Chen, Houqiang Li. [PDF] [Github] Have in mind that things like what and when you publish will change the results you get. Best Project Management Software for Education [PDF] [PDF] Junlin Han, Mehrdad Shoeiby, Lars Petersson, Mohammad Ali Armin. arxiv 2022. Virtual reality - Wikipedia [Github] [PDF], Face-Age-cGAN: Face Aging With Conditional Generative Adversarial Networks. Jaewoong Choi, Daeha Kim, Byung Cheol Song. We offer the keypoints detection results used in our experiment in this link. Konstantinos Vougioukas, Stavros Petridis, Maja Pantic. Qi Mao, Hsin-Ying Lee, Hung-Yu Tseng, Jia-Bin Huang, Siwei Ma, Ming-Hsuan Yang. 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. Andrs Romero, Pablo Arbelez, Luc Van Gool, Radu Timofte. Ben Usman, Dina Bashkirova, Kate Saenko. xxx_ref.txt and xxx_ref_test.txt in other dataset. [PDF] [Github] Bibliographic details on CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation. [PDF], StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation. TimeCycle Code for Learning Correspondence from the Cycle-consistency of Time (CVPR 2019, Oral). [PDF] [Github], A Domain Gap Aware Generative AdversarialNetwork for Multi-domain Image Translation. (2021) Dagstuhl. ACCV 2020. [Github] [PDF], CycleGAN: Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks. Wavelet Knowledge Distillation: Towards Efficient Image-to-Image Translation. By rejecting non-essential cookies, Reddit may still use certain cookies to ensure the proper functionality of our platform. [PDF], A Novel Framework for Image-to-image Translation and Image Compression. [PDF][Github] Samarth Shukla, Andrs Romero, Luc Van Gool, Radu Timofte. Hao Tang, Dan Xu, Hong Liu, Nicu Sebe. [PDF] You can find the script in data/preprocess.py. Wei Xiong, Yutong He, Yixuan Zhang, Wenhan Luo, Lin Ma, Jiebo Luo. ICPR 2020. OverLORD: Scaling-up Disentanglement for Image Translation. Pan Zhang, Jianmin Bao, Ting Zhang, Dong Chen, Fang Wen. Fei Yang, Yaxing Wang, Luis Herranz, Yongmei Cheng, Mikhail Mozerov. Wenju Xu, Guanghui Wang. Guillaume Couairon, Asya Grechka, Jakob Verbeek, Holger Schwenk, Matthieu Cord. Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation. Panoptic-Aware Image-to-Image Translation. [PDF] [Github], PI-Trans: Parallel-ConvMLP and Implicit-Transformation Based GAN for Cross-View Image Translation. Jun-Yan Zhu, Taesung Park, Phillip Isola, Alexei A. Efros. Unsupervised Multi-Modal Image Registration via Geometry Preserving Image-to-Image Translation. XingGAN for Person Image Generation. Oren Katzir, Dani Lischinski, Daniel Cohen-Or. arxiv 2021. Ibrahim Batuhan Akkaya, Ugur Halici. Avishkar Saha, Oscar Mendez Maldonado, Chris Russell, Richard Bowden. [PDF], EDIT: Exemplar-Domain Aware Image-to-Image Translation. Jianxin Lin, Yingce Xia, Yijun Wang, Tao Qin, Zhibo Chen. [PDF], U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation. Yingruo. Xingran Zhou, Bo Zhang, Ting Zhang, Pan Zhang, Jianmin Bao, Dong Chen, Zhongfei Zhang, Fang Wen. [PDF] month = {June}, Rui Liu, Yixiao Ge, Ching Lam Choi, Xiaogang Wang, Hongsheng Li. AAAI 2021. Yael Vinker, Eliahu Horwitz, Nir Zabari, Yedid Hoshen. Qiusheng Huang, Zhilin Zheng, Xueqi Hu, Li Sun, Qingli Li. In particular, configuration files for the Metfaces dataset would be appreciated, otherwise comparisons cannot be made. Zheng Ding, Yifan Xu, Weijian Xu, Gaurav Parmar, Yang Yang, Max Welling, Zhuowen Tu. You can find the script in data/preprocess.py. International Conference on Multimedia Modeling (MMM2020). Towards Instance-Level Image-To-Image Translation. [PDF] TOG 2021. Cross-Domain Cascaded Deep Feature Translation. Dong Chen's Homepage [PDF], IEGAN: Independent Encoder for Deep Hierarchical Unsupervised Image-to-Image Translation. arxiv 2021. The proposed CoCosNet v2, a GRU-assisted PatchMatch approach, is fully differentiable and highly efficient. TIP 2019. [PDF] [Github], The Surprising Effectiveness of Linear Unsupervised Image-to-Image Translation. Zekang Chen, Jia Wei, Rui Li. [PDF] Download the train-val lists from this link, and the retrival pair lists from this link. [Github] [PDF], UNIT: Unsupervised Image-to-Image Translation Networks. Describe What to Change: A Text-guided Unsupervised Image-to-Image Translation Approach. arxiv 2020. UCTGAN: Diverse Image Inpainting Based on Unsupervised Cross-Space Translation. [PDF] [Github] [Project], Semantically Adaptive Image-to-image Translation for Domain Adaptation of Semantic Segmentation. arxiv 2020. What's the problem? Yuanbin Fu, Jiayi Ma, Lin Ma, Xiaojie Guo. ReversibleGANs for Memory-Efficient ImageTo Image Translation. [PDF] [Project], The Swiss Army Knife for Image-to-Image Translation: Multi-Task Diffusion Models. Hao Tang, Song Bai, Li Zhang, Philip H. S. Torr, Nicu Sebe. IJCV 2019. NeurIPS 2021. [PDF] Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, Alexei A. Efros. Then run the following command. arxiv 2020. Yu Han, Shuai Yang, Wenjing Wang, Jiaying Liu. Wish You Were Here: Context-Aware Human Generation. [PDF], Fix the Noise: Disentangling Source Feature for Transfer Learning of StyleGAN. Learn about the duties, responsibilities, and skills for A . ACCV 2020. [PDF] Can you provide configuration files for the other datasets mentioned in the paper? We adopt a hierarchical strategy that uses the correspondence from the coarse level to guide the finer levels. [PDF] [PDF], Network-to-Network Translation with Conditional Invertible Neural Networks. [PDF] TIP 2019. [PDF] Move the models below the folder checkpoints/deepfashionHD. Ziyu Wan, Bo Zhang, Dongdong Chen, Pan Zhang, Dong Chen, Jing Liao, Fan Wen. deepfashion_ref.txt, deepfashion_ref_test.txt and deepfashion_self_pair.txt are the paring lists used in our experiment. CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation. [PDF] [PDF] . Wen Liu, Zhixin Piao, Jie Min, Wenhan Luo, Lin Ma, Shenghua Gao. [R] Full-Resolution Correspondence Learning for Image Translation - reddit [pdf] [Github] [Supplement] 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). Dual-Resolution Correspondence Network(NeurIPS 2020) Experiments on diverse translation tasks show that CoCosNet v2 performs considerably better than state-of-the-art literature on producing high-resolution images. [PDF] [Github], GeneGAN: Learning Object Transfiguration and Attribute Subspace from Unpaired Data. Soohyun Kim, Jongbeom Baek, Jihye Park, Gyeongnyeon Kim, Seungryong Kim. Qing Jin, Jian Ren, Oliver J. Woodford, Jiazhuo Wang, Geng Yuan, Yanzhi Wang, Sergey Tulyakov. [PDF] [PDF] [Project], MCMI: Multi-Cycle Image Translation with Mutual Information Constraints. [PDF], AttGAN: Facial Attribute Editing by Only Changing What You Want. full resolution correspondence learning for image translation Stefano Ermon. [PDF] [Project] [Video], BlendGAN: Implicitly GAN Blending for Arbitrary Stylized Face Generation. Guided Variational Autoencoder for Disentanglement Learning. Pauliina Paavilainen, Saad Ullah Akram, Juho Kannala. [PDF], OT-CycleGAN: Guiding the One-to-one Mapping in CycleGAN via Optimal Transport.
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