Image and Vision Computing 2020. Chao Yang, Taehwan Kim, Ruizhe Wang, Hao Peng, C.-C. Jay Kuo. 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. Rui Liu, Yixiao Ge, Ching Lam Choi, Xiaogang Wang, Hongsheng Li. [PDF] [Github] WCVA 2021 Workshop at ICVGIP. hierarchy, the correspondence can be efficiently computed via PatchMatch that CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation Vignesh Srinivasan, Klaus-Robert Mller, Wojciech Samek, Shinichi Nakajima. Kyungjune Baek, Yunjey Choi, Youngjung Uh, Jaejun Yoo, Hyunjung Shim. ACM MM 2019. AAAI 2019. full resolution correspondence learning for image translation Arbish Akram and Nazar Khan. [PDF] [Github], RF-GAN: A Light and Reconfigurable Network for Unpaired Image-to-Image Translation. Note the file name is img_highres.zip. Badour AlBahar, Jia-Bin Huang. Full-Resolution Correspondence Learning for Image Translation Cooper Nederhood, Nicholas Kolkin, Deqing Fu, Jason Salavon. Boyi Li, Yin Cui, Tsung-Yi Lin, Serge Belongie. OverLORD: Scaling-up Disentanglement for Image Translation. Takehiko Ohkawa, Naoto Inoue, Hirokatsu Kataoka, Nakamasa Inoue. NeurIPS 2017. [Github] [PDF], DualGAN: Unsupervised Dual Learning for Image-to-Image Translation. Image Translation, MIDMs: Matching Interleaved Diffusion Models for Exemplar-based Image TIP 2019. Long-Term Temporally Consistent Unpaired Video Translation from Simulated Surgical 3D Data. Chitwan Saharia, William Chan, Huiwen Chang, Chris A. Lee, Jonathan Ho, Tim Salimans, David J. [PDF] SPatchGAN: A Statistical Feature Based Discriminator for Unsupervised Image-to-Image Translation. Learning to Transfer: Unsupervised Domain Translation via Meta-Learning. Multi-mapping Image-to-Image Translation via Learning Disentanglement. [PDF] [PDF], DosGAN: Exploring Explicit Domain Supervision for Latent Space Disentanglement in Unpaired Image-to-Image Translation. [PDF], Full-Resolution Correspondence Learning for Image Translation. Moab Arar, Yiftach Ginger, Dov Danon, Amit H. Bermano, Daniel Cohen-Or. We adopt a hierarchical strategy that uses the correspondence from coarse level to guide the fine levels. IJCAI 2021. [enforce fail at ..\caffe2\serialize\inline_container.cc:211] . Unsupervised Image-to-Image Translation with Generative Prior. NeurIPS 2017. The test results are as follows. Rongliang Wu, Shijian Lu. [pdf] [Supplement] [PDF] [Github] GANHopper: Multi-Hop GAN for Unsupervised Image-to-Image Translation. Yang Chen, Yingwei Pan, Ting Yao, Xinmei Tian, Tao Mei. ACM MM 2019. Somi Jeong, Youngjung Kim, Eungbean Lee, Kwanghoon Sohn. QS-Attn: Query-Selected Attention for Contrastive Learning in I2I Translation. [PDF] [Project] [Github] [PDF], Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation. [PDF] [Project] [Github], Lipschitz Regularized CycleGAN for Improving Semantic Robustness in Unpaired Image-to-image Translation. Fei Gao, Xingxin Xu, Jun Yu, Meimei Shang, Xiang Li, and Dacheng Tao. In . Hao Tang, Dan Xu, Yan Yan, Philip H. S. Torr, Nicu Sebe. ASAPNet: Spatially-Adaptive Pixelwise Networks for Fast Image Translation. [PDF] [GitHub] [Tensorflow] [AFHQ Data] [PDF] [PDF] Ivan Anokhin, Pavel Solovev, Denis Korzhenkov, Alexey Kharlamov, Taras Khakhulin, Gleb Sterkin, Alexey Silvestrov, Sergey Nikolenko, Victor Lempitsky. [PDF] 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], Gated SwitchGAN for multi-domain facial image translation. Yaxing Wang, Joost van de weijer, Lu Yu, Shangling Jui. Download the train-val lists from this link, and the retrival pair lists from this link. We present the full-resolution correspondence learning for cross-domain images, which aids image translation. World-Consistent Video-to-Video Synthesis. ICCV 2019 Workshops. ! Chen Gao, Si Liu, Ran He, Shuicheng Yan, Bo Li. arxiv 2022. TOG 2020. EGSDE: Unpaired Image-to-Image Translation via Energy-Guided Stochastic Differential Equations. Mor Avi-Aharon, Assaf Arbelle, Tammy Riklin Raviv. ICML 2019. For more information, please see our Aviv Gabbay, Yedid Hoshen. Ruho Kondo, Keisuke Kawano, Satoshi Koide, Takuro Kutsuna. The codes and the pretrained model in this repository are under the MIT license as specified by the LICENSE file. Wei Xiong, Yutong He, Yixuan Zhang, Wenhan Luo, Lin Ma, Jiebo Luo. [PDF] Zili Yi, Hao Zhang, Ping Tan, Minglun Gong. arxiv 2020. [PDF]. Omry Sendik, Dani Lischinski, Daniel Cohen-Or. Mu Cai, Hong Zhang, Huijuan Huang, Qichuan Geng, Yixuan Li, Gao Huang. Within each (we used Pytorch 1.7.0 in our experiments). Kunhee Kim, Sanghun Park, Eunyeong Jeon, Taehun Kim, Daijin Kim. Guided Image-to-Image Translation With Bi-Directional Feature Transformation. [PDF] [PDF] [PDF] [PDF] [Github] [PDF][Github] Few-shot Image Generation via Cross-domain Correspondence. [PDF] espe We present a novel method for exemplar-based image translation, called arxiv 2020. translation. [PDF], MixerGAN: An MLP-Based Architecture for Unpaired Image-to-Image Translation. Make sure you have prepared the DeepfashionHD dataset as the instruction. arxiv 2021. uses the correspondence from coarse level to guide the finer levels. 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. Alessandro Simoni, Luca Bergamini, Andrea Palazzi, Simone Calderara, Rita Cucchiara. Chuanxia Zheng, Tat-Jen Cham, Jianfei Cai. [PDF] Yihao Zhao, Ruihai Wu, Hao Dong. Springer Machine Vision and Applications 2021. Yuda Song, Hui Qian, Xin Du. 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. Textured Neural Avatars. Guanglei Yang, Hao Tang, Humphrey Shi, Mingli Ding, Nicu Sebe, Radu Timofte, Luc Van Gool, Elisa Ricci. ICPR 2020. Go From the General to the Particular: Multi-Domain Translation with Domain Transformation Networks. [PDF] Semantic Image Manipulation Using Scene Graphs. Wenju Xu, Shawn Keshmiri, Guanghui Wang. [PDF] Baran Ozaydin, Tong Zhang, Sabine Susstrunk, Mathieu Salzmann. SIGGRAPH 2022. Xingran Zhou, Bo Zhang, Ting Zhang, Pan Zhang, Jianmin Bao, Dong Chen, Zhongfei Zhang, Fang Wen. Weihao Xia, Yujiu Yang, Jing-Hao Xue. ADGAN: Controllable Person Image Synthesis with Attribute-Decomposed GAN. arxiv 2021. In summary, this work aims to make two contributions: (1) [PDF] [PDF] [GitHub], injectionGAN: Toward Learning a Unified Many-to-Many Mapping for Diverse Image Translation. Dual Transfer Learning for Event-Based End-Task Prediction via Pluggable Event to Image Translation. Nazar Khan, Arbish Akram, Arif Mahmood, Sania Ashraf, Kashif Murtaza. Prasun Roy, Saumik Bhattacharya, Subhankar Ghosh, Umapada Pal. The full-resolution correspondence is learned hierarchically, where the low-resolution result serves as the initialization for the next level. full resolution correspondence learning for image translation Gwanghyun Kim, Taesung Kwon, Jong Chul Ye. Ziqiang Zheng, Yang Wu, Xinran Han, Jianbo Shi. 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 used Pytorch 1.7.0 in our experiments). Figure 10: Pose-to-body image translation results at resolution 512 512. [PDF][Github] Tengfei Wang, Ting Zhang, Bo Zhang, Hao Ouyang, Dong Chen, Qifeng Chen, Fang Wen. Maximum Spatial Perturbation Consistency for Unpaired Image-to-Image Translation. Yang Zhao, Changyou Chen. [PDF][Github][Project] full resolution correspondence learning for image translation He has since then inculcated very effective writing and reviewing culture at pythonawesome which rivals have found impossible to imitate. [Project] [Github] [pytorch-CycleGAN-and-pix2pix] [PDF], BicycleGAN: Toward Multimodal Image-to-Image Translation. Then run the following command. Xiaoyu Li, Bo Zhang, Jing Liao, Pedro V. Sander. Lijie Fan, Wenbing Huang, Chuang Gan, Junzhou Huang, Boqing Gong. [PDF] [Github] [PDF], A Novel Application of Image-to-Image Translation: Chromosome Straightening Framework by Learning from a Single Image. File "/home/kas/CoCosNet-v2/data/pix2pix_dataset.py", line 33, in initialize [PDF], Stylizing Video by Example. [PDF], Learning to Caricature via Semantic Shape Transform. Download the train-val lists from this link, and the retrival pair lists from this link. Everybody Dance Now. Tianyang Shi, Yi Yuan, Changjie Fan, Zhengxia Zou, Zhenwei Shi, Yong Liu. Smoothing the Disentangled Latent Style Space for Unsupervised Image-to-Image Translation. [PDF] [PDF][Github] [PDF] Unselfie: Translating Selfies to Neutral-pose Portraits in the Wild. Cross-domain Correspondence Learning for Exemplar-based Image Translation Towards Instance-Level Image-To-Image Translation. Full-Resolution Correspondence Learning for Image Translation ReMix: Towards Image-to-Image Translation with Limited Data. [PDF], Network-to-Network Translation with Conditional Invertible Neural Networks. Chenlin Meng, [PDF] [Project] [Github] Hanbit Lee, Jinseok Seol, Sang-goo Lee. arxiv 2019. 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. [PDF] Ming Lu, Hao Zhao, Anbang Yao, Yurong Chen, Feng Xu, Li Zhang. IJCNN 2019. TIP 2021. [PDF], Bridging the Gap Between Paired and Unpaired Medical Image Translation. Zhen Zhu, Zhiliang Xu, Ansheng You, Xiang Bai. Yahui Liu, Enver Sangineto, Yajing Chen, Linchao Bao, Haoxian Zhang, Nicu Sebe, Bruno Lepri, Wei Wang, Marco De Nadai. You can find the script in data/preprocess.py. Liquid Warping GAN: A Unified Framework for Human Motion Imitation, Appearance Transfer and Novel View Synthesis. What's the problem? Jianxin Lin, Yijun Wang, Zhibo Chen, Tianyu He. [PDF] [Project], The Swiss Army Knife for Image-to-Image Translation: Multi-Task Diffusion Models. Cant Login To SunpassDon't miss. xxx_ref.txt and xxx_ref_test.txt in other dataset. Jialu Huang, Jing Liao, Sam Kwong. Jonghuyn Kim, Gen Li, Cheolkon Jung, Joongkyu Kim. OA-FSUI2IT: A Novel Few-Shot Cross Domain Object Detection Framework with Object-aware Few-shot Unsupervised Image-to-Image Translation. [PDF] Unsupervised one-to-many image translation. We present the full-resolution correspondence learning for cross-domain images, which aids image translation. Multimodal Style Transfer via Graph Cuts. . After the questions are adequately addressed, the CRN number is issued by each jurisdiction and the initial province of review returns the full CRN number to the submitter. 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], U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation. We. NeurIPS 2021. Note train.txt and val.txt are our train-val lists. Hao Su, Jianwei Niu, Xuefeng Liu, Qingfeng Li, Jiahe Cui, Ji Wan. Yingruo. CVPR 2017. [PDF] I'm planning a future in-depth post with an image processing/deep learning expert, where we'll be getting into the weeds [PDF], ITTR: Unpaired Image-to-Image Translation with Transformers. arxiv 2021. [PDF] HiDT: High-Resolution Daytime Translation Without Domain Labels. [PDF], Image to Image Translation for Domain Adaptation.. [PDF] [Github] Peihao Zhu, Rameen Abdal, Yipeng Qin, Peter Wonka. Yuan Yao, Jianqiang Ren, Xuansong Xie, Weidong Liu, Yong-Jin Liu, Jun Wang. [PDF], Diffusion-based Image Translation using Disentangled Style and Content Representation. IJCV 2019. [PDF] Rinon Gal, Or Patashnik, Haggai Maron, Gal Chechik, Daniel Cohen-Or. Pauliina Paavilainen, Saad Ullah Akram, Juho Kannala. correspondence considering not only the matchings of larger context but also Download the pretrained VGG model from this link, move it to vgg/ folder. arxiv 2020. [PDF] [Github], DEEPSim: Deep Single Image Manipulation. Ming-Yu Liu, Xun Huang, Arun Mallya, Tero Karras, Timo Aila, Jaakko Lehtinen, Jan Kautz. [PDF] [arxiv] [project] ICIP 2017. Unsupervised Image to Sequence Translation with Canvas-Drawer Networks. Attentive Normalization for Conditional Image Generation. Mingcong Liu, Qiang Li, Zekui Qin, Guoxin Zhang, Pengfei Wan, Wen Zheng. Yingxue Pang, Jianxin Lin, Tao Qin, Zhibo Chen. A collection of awesome resources image-to-image translation. Grigory Antipov, Moez Baccouche, Jean-Luc Dugelay. TPAMI 2019. ICCV Workshop 2021. Chanyong Jung, Gihyun Kwon, Jong Chul Ye. We offer the keypoints detection results used in our experiment in this link. 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. arxiv 2022. InGAN: Capturing and Retargeting the "DNA" of a Natural Image. [PDF], TriGAN: Image-to-Image Translation for Multi-Source Domain Adaptation. DSI2I: Dense Style for Unpaired Image-to-Image Translation. [PDF], Identity-Preserving Realistic Talking Face Generation. Experiments on diverse translation tasks show that CoCosNet v2 performs considerably better than state-of-the-art literature on producing high-resolution images. Zhentao Tan, Menglei Chai, Dongdong Chen, Jing Liao, Qi Chu, Lu Yuan, Sergey Tulyakov, Nenghai Yu. In particular, configuration files for the Metfaces dataset would be appreciated, otherwise comparisons cannot be made. arxiv 2021. How can I correct errors in dblp? images, which aids image translation. [PDF] [Github], Region-aware Knowledge Distillation for Efficient Image-to-Image Translation. Developing shipment plans as per product availability and request from customers. Lei Zhao, Qihang Mo, Sihuan Lin, Zhizhong Wang, Zhiwen Zuo, Haibo Chen, Wei Xing, Dongming Lu. Bin Ren, Hao Tang, Nicu Sebe. [PDF] [Github], Deep Sketch-guided Cartoon Video Synthesis. arxiv 2022. Cross-Domain Cascaded Deep Feature Translation. [PDF] [Github] [Github] Trier > Home. WACV 2020. Yuntong Ye, Yi Chang, Hanyu Zhou, Luxin Yan. Dina Bashkirova, Ben Usman, Kate Saenko. Tamar Rott Shaham, Michael Gharbi, Richard Zhang, Eli Shechtman, Tomer Michaeli. Arun Mallya, Ting-Chun Wang, Karan Sapra, Ming-Yu Liu. [Github], CrossNet: Latent Cross-Consistency for Unpaired Image Translation. Create Challan Form (CRN) User Manual. CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation [PDF][Github] Yifang Men, Yiming Mao, Yuning Jiang, Wei-Ying Ma, Zhouhui Lian. 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. ACM MM 2019. full resolution correspondence learning for image translation. [PDF] [Github] Oran Gafni, Lior Wolf. Thank you and wish you success in your scientific research! Taesung Park, Alexei A. Efros, Richard Zhang, Jun-Yan Zhu. full resolution correspondence learning for image translation. Cross-Granularity Learning for Multi-Domain Image-to-Image Translation. EG-UNIT: Exemplar Guided Unsupervised Image-to-Image Translation with Semantic Consistency. [PDF] [Github] Liyun Zhang, Photchara Ratsamee, Bowen Wang, Zhaojie Luo, Yuki Uranishi, Manabu Higashida, Haruo Takemura. TSIT: A Simple and Versatile Framework for Image-to-Image Translation. Xingran Zhou, Bo Zhang, Ting Zhang, Pan Zhang, Jianmin Bao, Dong Chen, Zhongfei Zhang, Fang Wen, Full-Resolution Correspondence Learning for Image Translation. Overview Dual-Resolution Correspondence Network Dual-Resolution Correspondence Network, NeurIPS 2020 Dependency All dependencies are included in asset/dualrcnet.yml. [PDF], Quality Metric Guided Portrait Line Drawing Generation from Unpaired Training Data. CVPR 2021 Workshop on NTIRE. [PDF], Global and Local Alignment Networks for Unpaired Image-to-Image Translation. CoCosNet v2: Full-Resolution Correspondence Learning for Image 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. You can simply get your CRN number from Mr. arxiv 2022. Che-Tsung Lin, Yen-Yi Wu, Po-Hao Hsu, Shang-Hong Lai. Julia Wolleb, Robin Sandkhler, Florentin Bieder, Philippe C. Cattin.
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