[PDF] [Github] Wallace Lira, Johannes Merz, Daniel Ritchie, Daniel Cohen-Or, Hao Zhang. 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. Chen Gao, Si Liu, Ran He, Shuicheng Yan, Bo Li. Local Image-to-Image Translation via Pixel-wise Highway Adaptive Instance Normalization. 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. Or fastest delivery Wed, Nov 2. Reversible GANs for Memory-efficient Image-to-Image Translation. [PDF] [Github] The images from distinct domains are first aligned to an intermediate domain where dense correspondence is established. Nick Lawrence, Mingren Shen, Ruiqi Yin, Cloris Feng, Dane Morgan. Ben Usman, Dina Bashkirova, Kate Saenko. [PDF] FlexIT: Towards Flexible Semantic Image Translation. Yi Wang, Ying-Cong Chen, Xiangyu Zhang, Jian Sun, Jiaya Jia. [PDF] [PDF] [Github], MIDMs: Matching Interleaved Diffusion Models for Exemplar-based Image Translation. full resolution correspondence learning for image translation [PDF] First download the Deepfashion dataset (high resolution version) from this link. We use this model to calculate training loss. arxiv 2021. full resolution correspondence learning for image translation. Siyuan Li, Semih Gnel, Mirela Ostrek, Pavan Ramdya, Pascal Fua, Helge Rhodin. Qiusheng Huang, Xueqi Hu, Li Sun, Qingli Li. Feedback and contributions are welcome! [PDF] [Github], Leveraging Local Domains for Image-to-Image Translation. #animeart hashtag on Instagram Photos and Videos. Multimodal Structure-Consistent Image-to-Image Translation. Liqian Ma, Zhe Lin, Connelly Barnes, Alexei A. Efros, Jingwan Lu. Thank you and wish you success in your scientific research! [PDF], Attention-Based Spatial Guidance for Image-to-Image Translation. We present a general framework for exemplar-based image . markdown format: arxiv 2020. We present the full-resolution correspondence learning for cross-domain images, which aids image translation. Oren Katzir, Dani Lischinski, Daniel Cohen-Or. You can simply get your CRN number from Mr. AAAI 2021. Co-Evolutionary Compression for Unpaired Image Translation. [PDF], Unsupervised Multi-Modal Medical Image Registration via Discriminator-Free Image-to-Image Translation. TPAMI 2019. 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. A collection of resources on image-to-image translation. IJCV 2022. Note you need to download our train-val split lists train.txt and val.txt from this link in this step. Learning Temporally and Semantically Consistent Unpaired Video-to-Video Translation through PseudoSupervision from Synthetic Optical Flow. Ming Lu, Hao Zhao, Anbang Yao, Yurong Chen, Feng Xu, Li Zhang. differentiable and highly efficient. arxiv 2022. ICLR 2023. TPAMI 2020. DSI2I: Dense Style for Unpaired Image-to-Image Translation. 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. Then run the following command. python test.py --name deepfashionHD --dataset_mode deepfashionHD --dataroot dataset/deepfashionHD --PONO --PONO_C --no_flip --batchSize 8 --gpu_ids 0 --netCorr NoVGGHPM --nThreads 16 --nef 32 --amp --display_winsize 512 --iteration_count 5 --load_size 512 --crop_size 512, running "Inference Using Pretrained Model" ,but I get an error like the one below. CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation Niccol di Bernardo dei Machiavelli (/ m k i v l i / MAK-ee--VEL-ee, US also / m k-/ MAHK-, Italian: [nikkol mmakjavlli]; 3 May 1469 - 21 June 1527), was an Italian diplomat, author, philosopher and historian who lived during the Renaissance.He is best known for his political treatise The Prince (Il Principe), written around 1513 but not published until 1532. [PDF] Lei Zhao, Qihang Mo, Sihuan Lin, Zhizhong Wang, Zhiwen Zuo, Haibo Chen, Wei Xing, Dongming Lu. We use 8 32GB Tesla V100 GPUs to train the network. LEED: Label-Free Expression Editing via Disentanglement. Arun Mallya, Ting-Chun Wang, Karan Sapra, Ming-Yu Liu. Xinyang Li, Shengchuan Zhang, Jie Hu, Liujuan Cao, Xiaopeng Hong, Xudong Mao, Feiyue Huang, Yongjian Wu, Rongrong Ji. ICML 2019. Liming Jiang, Changxu Zhang, Mingyang Huang, Chunxiao Liu, Jianping Shi, Chen Change Loy. Unsupervised Sketch-to-Photo Synthesis. arxiv 2021. Yuan Yao, Jianqiang Ren, Xuansong Xie, Weidong Liu, Yong-Jin Liu, Jun Wang. [PDF][Github] [PDF], Implicit Pairs for Boosting Unpaired Image-to-Image Translation. [pdf] [Supplement] [enforce fail at ..\caffe2\serialize\inline_container.cc:211] . [PDF] [Github], Stochastic Actor-Executor-Critic for Image-to-Image Translation. ACM MM 2021. Peiye Zhuang, Oluwasanmi Koyejo, Alexander G. Schwing. full resolution correspondence learning for image translation CVPR 2018. full resolution correspondence learning for image translation WCVA 2021 Workshop at ICVGIP. 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. Yiming Gao, Jiangqin Wu. Rongliang Wu, Shijian Lu. Xiang Xu, Megha Nawhal, Greg Mori, Manolis Savva. [PDF]. CVPR 2021 Workshop on NTIRE. Utkarsh Ojha, Yijun Li, Jingwan Lu, Alexei A. Efros, Yong Jae Lee, Eli Shechtman, Richard Zhang. Rui Liu, Yixiao Ge, Ching Lam Choi, Xiaogang Wang, Hongsheng Li. Paper | Slides Abstract images, which aids image translation. Cooper Nederhood, Nicholas Kolkin, Deqing Fu, Jason Salavon. [PDF] [Github] [PDF], U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation. Yunfei Liu, Haofei Wang, Yang Yue, Feng Lu. [PDF][Github] Tristan Bepler, Ellen Zhong, Kotaro Kelley, Edward Brignole, Bonnie Berger.*. full resolution correspondence learning for image translation IJCAI 2019. Intuitive, Interactive Beard and Hair Synthesis with Generative Models. arxiv 2022. Context enhancement is critical for night vision (NV) applications, [PDF], Identity-Preserving Realistic Talking Face Generation. [PDF] [Github], DRIT++: Diverse Image-to-Image Translation via Disentangled Representations. Kwanyong Park, Sanghyun Woo, Dahun Kim, Donghyeon Cho, In So Kweon. Wenju Xu, Shawn Keshmiri, Guanghui Wang. 250cc dragon custom chopper [PDF] [Supplementary Materials] [Github] Yihao Zhao, Ruihai Wu, Hao Dong. [PDF], Deliberation Learning for Image-to-Image Translation. If you think I have missed out on something (or) have any suggestions (papers, implementations and other resources), feel free to pull a request. Aamir Mustafa, Rafal K. Mantiuk. IJCNN 2020. Wenqing Chu, Wei-Chih Hung, Yi-Hsuan Tsai, Yu-Ting Chang, Yijun Li, Deng Cai, Ming-Hsuan Yang. full resolution correspondence learning for image translation. Cross-Domain Cascaded Deep Feature Translation. [PDF] George Cazenavette, Manuel Ladron De Guevara. Jaewoong Choi, Daeha Kim, Byung Cheol Song. ICCV Workshop 2021. Qing Jin, Jian Ren, Oliver J. Woodford, Jiazhuo Wang, Geng Yuan, Yanzhi Wang, Sergey Tulyakov. DINO: A Conditional Energy-Based GAN for Domain Translation. BMVC 2021. Guan-Horng Liu, Arash Vahdat, De-An Huang, Evangelos A. Theodorou, Weili Nie, Anima Anandkumar. Nazar Khan, Arbish Akram, Arif Mahmood, Sania Ashraf, Kashif Murtaza. IJCV 2020. QS-Attn: Query-Selected Attention for Contrastive Learning in I2I Translation. Not Just Compete, but Collaborate: Local Image-to-Image Translation via Cooperative Mask Prediction. Xueqi Hu, Xinyue Zhou, Qiusheng Huang, Zhengyi Shi, Li Sun, Qingli Li. CoCosNet: Cross-domain Correspondence Learning for Exemplar-based Image Translation. [pdf] [Github] [Supplement] Zak Murez, Soheil Kolouri, David Kriegman, Ravi Ramamoorthi, Kyungnam Kim.. Zhen Zhu, Zhiliang Xu, Ansheng You, Xiang Bai. Md Mahfuzur Rahman Siddiquee, Zongwei Zhou, Nima Tajbakhsh, Ruibin Feng, Michael B. Gotway, Yoshua Bengio, Jianming Liang. [PDF][Github] Shuai Yang, Liming Jiang, Ziwei Liu, Chen Change Loy. Hanbit Lee, Jinseok Seol, Sang-goo Lee. You can set batchSize to 16, 8 or 4 with fewer GPUs and change gpu_ids. Omry Sendik, Dani Lischinski, Daniel Cohen-Or. arxiv 2022. The proposed CoCosNet v2, a GRU-assisted PatchMatch approach, is fully differentiable and highly efficient. At each hierarchy, the correspondence can be efficiently computed via PatchMatch that iteratively leverages . Dingdong Yang, Seunghoon Hong, Yunseok Jang, Tianchen Zhao, Honglak Lee. [PDF] CVPR 2018. [PDF] [PDF] [Project] [Github] NeurIPS 2017. [PDF] [GitHub] Learning to Predict Layout-to-image Conditional Convolutions for Semantic Image Synthesis. [PDF], Network-to-Network Translation with Conditional Invertible Neural Networks. ICPR 2020. Niccol Machiavelli - Wikipedia The codes and the pretrained model in this repository are under the MIT license as specified by the LICENSE file. dataloader = data.create_dataloader(opt) 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. deepfashion_ref.txt, deepfashion_ref_test.txt and deepfashion_self_pair.txt are the paring lists used in our experiment. [PDF] [Official Tensorflow] [Pytorch] [photo2cartoon] [Morph UGATIT]. Cross-domain Correspondence Learning for Exemplar-based Image Translation Ran Yi, Yong-Jin Liu, Yu-Kun Lai, Paul Rosin. [PDF], Quality Metric Guided Portrait Line Drawing Generation from Unpaired Training Data. Ying-Cong Chen, Xiaogang Xu, Zhuotao Tian, Jiaya Jia. The proposed CoCosNet v2, a GRU-assisted PatchMatch approach, is fully differentiable and highly efficient. Towards Visual Feature Translation. Andrs Romero, Pablo Arbelez, Luc Van Gool, Radu Timofte. Tianyang Shi, Zhengxia Zou, Yi Yuan, Changjie Fan. Blind Image Decomposition is a novel task. [PDF] [Project] [Github], Masked Linear Regression for Learning Local Receptive Fields for Facial Expression Synthesis. Lingke Kong, Chenyu Lian, Detian Huang, Zhenjiang Li, Yanle Hu, Qichao Zhou. [PDF] Yuda Song, Hui Qian, Xin Du. [PDF] [Github], Exploiting Time-Series Image-to-Image Translation to Expand the Range of Wildlife Habitat Analysis. arxiv 2021. Samet Hicsonmez, Nermin Samet, Emre Akbas, Pinar Duygulu. [PDF] [Project] yaxing wang, Lu Yu, Joost van de Weijer. This material is presented to ensure timely dissemination of scholarly and technical work. NeurIPS 2017. 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. Full-Resolution Correspondence Learning for Image Translation [PDF] Wei Xiong, Yutong He, Yixuan Zhang, Wenhan Luo, Lin Ma, Jiebo Luo. Daejin Kim, Mohammad Azam Khan, Jaegul Choo. At each hierarchy, the correspondence can be efficiently computed via PatchMatch that iteratively leverages the matchings from the neighborhood. [PDF] Bin Ren, Hao Tang, Yiming Wang, Xia Li, Wei Wang, Nicu Sebe. We present the full-resolution correspondence learning for cross-domain images, which aids image translation. [PDF] [Github], Augmented Cyclic Consistency Regularization for Unpaired Image-to-Image Translation. DivCo: Diverse Conditional Image Synthesis via Contrastive Generative Adversarial Network. [PDF] BMVC 2017. Tex2Shape: Detailed Full Human Body Geometry From a Single Image. arxiv 2019. [PDF], A Novel Application of Image-to-Image Translation: Chromosome Straightening Framework by Learning from a Single Image. In summary, this work aims to make two contributions: (1) We adopt a hierarchical strategy that uses the correspondence from coarse level to guide the finer levels with the proposed GRU-assisted PatchMatch. [PDF] [Github] A collection of awesome resources image-to-image translation. Elad Richardson, Yuval Alaluf, Or Patashnik, Yotam Nitzan, Yaniv Azar, Stav Shapiro, Daniel Cohen-Or. Chao Yang, Taehwan Kim, Ruizhe Wang, Hao Peng, C.-C. Jay Kuo. pages = {11465-11475} Peihao Zhu, Rameen Abdal, Yipeng Qin, Peter Wonka. [PDF] [PDF] Image-To-Image Translation via Group-Wise Deep Whitening-And-Coloring Transformation.
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