Dingdong Yang, Seunghoon Hong, Yunseok Jang, Tianchen Zhao, Honglak Lee. Hiroshi Sasaki, Chris G. Willcocks, Toby P. Breckon. Eitan Richardson, Yair Weiss. [PDF] [PDF], Identity-Preserving Realistic Talking Face Generation. Dina Bashkirova, Ben Usman, Kate Saenko. Rui Gong, Dengxin Dai, Yuhua Chen, Wen Li, Luc Van Gool. [PDF] [Github], Federated CycleGAN for Privacy-Preserving Image-to-Image Translation. Fabio Pizzati, Pietro Cerri, Raoul de Charette. Wonwoong Cho, Seunghwan Choi, Junwoo Park, David Keetae Park, Tao Qin, Jaegul Choo. [PDF], MatchGAN: A Self-Supervised Semi-Supervised Conditional Generative Adversarial Network. Justin Theiss, Jay Leverett, Daeil Kim, Aayush Prakash. Nick Lawrence, Mingren Shen, Ruiqi Yin, Cloris Feng, Dane Morgan. Ben Usman, Nick Dufour, Kate Saenko, Chris Bregler. [PDF][Github] Yahui Liu, Yajing Chen, Linchao Bao, Nicu Sebe, Bruno Lepri, Marco De Nadai. [PDF], Attention-Based Spatial Guidance for Image-to-Image Translation. Wen Liu, Zhixin Piao, Jie Min, Wenhan Luo, Lin Ma, Shenghua Gao. [PDF] [Github] arxiv 2019. Blind Image Decomposition is a novel task. SHUNIT: Style Harmonization for Unpaired Image-to-Image Translation. Download the train-val lists from this link, and the retrival pair lists from this link. ACM MM 2021. arxiv 2021. Shuchang Zhou, Taihong Xiao, Yi Yang, Dieqiao Feng, Qinyao He, Weiran He. Note the file name is img_highres.zip. Generating Diverse Translation by Manipulating Multi-Head Attention. Create Challan Form (CRN) User Manual. Privacy Policy. [PDF], Contrastive Feature Loss for Image Prediction. Image-to-image translation. [PDF], Learning to Caricature via Semantic Shape Transform. Wenju Xu, Guanghui Wang. Smoothing the Disentangled Latent Style Space for Unsupervised Image-to-Image Translation. [PDF], Unsupervised multi-modal Styled Content Generation. Unselfie: Translating Selfies to Neutral-pose Portraits in the Wild. high-resolution images. 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] [PDF] [Github] TIP 2021. TPAMI 2019. [PDF] Sunhee Hwang, Sungho Park, Dohyung Kim, Mirae Do, Hyeran Byun. TraVeLGAN: Image-To-Image Translation by Transformation Vector Learning. [PDF] [Project] [Github] ICLR 2023. The proposed GRU-assisted PatchMatch is fully [PDF] [Unofficial] 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. [PDF], Fix the Noise: Disentangling Source Feature for Transfer Learning of StyleGAN. Yuan Yao, Jianqiang Ren, Xuansong Xie, Weidong Liu, Yong-Jin Liu, Jun Wang. Zhen Zhu, Zhiliang Xu, Ansheng You, Xiang Bai. Experiments on diverse translation tasks show that CoCosNet v2 performs considerably better than state-of-the-art literature on producing high-resolution images. [PDF], ISF-GAN: An Implicit Style Function for High-Resolution Image-to-Image Translation. Liqian Ma, Zhe Lin, Connelly Barnes, Alexei A. Efros, Jingwan Lu. Harnessing the Conditioning Sensorium for Improved Image Translation. Wonwoong Cho, Kangyeol Kim, Eungyeup Kim, Hyunwoo J. Kim, Jaegul Choo. Liquid Warping GAN: A Unified Framework for Human Motion Imitation, Appearance Transfer and Novel View Synthesis. Semantic Image Manipulation Using Scene Graphs. Oran Gafni, Lior Wolf. BMVC 2021 (Oral). UNIST: Unpaired Neural Implicit Shape Translation Network. [PDF], Image-to-Image Translation: Methods and Applications. Activating mini sunpass. Fast and Robust Face-to-Parameter Translation for Game Character Auto-Creation. [PDF] Bin Ren, Hao Tang, Nicu Sebe. Experiments on diverse translation tasks show that CoCosNet v2 performs considerably better than state-of-the-art literature on producing high-resolution images. Detection. We present the full-resolution correspondence learning for cross-domain images, which aids image translation. Yong Wang, Longyue Wang, Shuming Shi, Victor Li, Zhaopeng Tu. m Calcified plaque in the aorta and pelvic arteries is associated with cor Cross-domain Correspondence Learning for Exemplar-based Image Go From the General to the Particular: Multi-Domain Translation with Domain Transformation Networks. [PDF], AttentionGAN: Attention-Guided Generative Adversarial Networks for Unsupervised Image-to-Image Translation. Yihao Zhao, Ruihai Wu, Hao Dong. 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 2022. For example xxx_ref.txt and xxx_ref_test.txt, as provided by CoCosNet v1. Adversarial Self-Defense for Cycle-Consistent GANs. Experiments on diverse translation tasks show that CoCosNet v2 performs considerably better than state-of-the-art literature on producing high-resolution images. full resolution correspondence learning for image translation Author: Published on: fargo school boundary changes June 8, 2022 Published in: jeffrey donovan dancing with the stars Cooper Nederhood, Nicholas Kolkin, Deqing Fu, Jason Salavon. June 8, 2022 full resolution correspondence learning for image translation. Soohyun Kim, Jongbeom Baek, Jihye Park, Gyeongnyeon Kim, Seungryong Kim. Yunjey Choi, Minje Choi, Munyoung Kim, Jung-Woo Ha, Sunghun Kim, Jaegul Choo. [PDF] [Github], A Domain Gap Aware Generative AdversarialNetwork for Multi-domain Image Translation. [PDF] [Project] [Github] [Data] Download the train-val lists from this link, and the retrival pair lists from this link. Image-to-Image Translation Tasks, IR2VI: Enhanced Night Environmental Perception by Unsupervised Thermal [PDF] 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. FlexIT: Towards Flexible Semantic Image Translation. 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. StarGAN v2: Diverse Image Synthesis for Multiple Domains. Self-Supervised CycleGAN for Object-Preserving Image-to-Image Domain Adaptation. python train. Steven Liu, Tongzhou Wang, David Bau, Jun-Yan Zhu, Antonio Torralba. [PDF] [Github] CollaGAN : Collaborative GAN for Missing Image Data Imputation. Che-Tsung Lin, Yen-Yi Wu, Po-Hao Hsu, Shang-Hong Lai. Make sure you have prepared the DeepfashionHD dataset as the instruction. Image-To-Image Translation via Group-Wise Deep Whitening-And-Coloring Transformation. Chin-Yuan Yeh, Hsi-Wen Chen, Hong-Han Shuai, De-Nian Yang, Ming-Syan Chen. Avishkar Saha, Oscar Mendez Maldonado, Chris Russell, Richard Bowden. [PDF], GANILLA: Generative Adversarial Networks for Image to Illustration Translation. [PDF] [Project] Experiments on diverse translation tasks show that CoCosNet v2 performs considerably better than state-of-the-art literature on producing high-resolution images. At each hierarchy, the correspondence can be efficiently computed via PatchMatch that iteratively leverages . Kwanyong Park, Sanghyun Woo, Dahun Kim, Donghyeon Cho, In So Kweon. Sanjana Sinha, Sandika Biswas, Brojeshwar Bhowmick. arxiv 2020. EGSDE: Unpaired Image-to-Image Translation via Energy-Guided Stochastic Differential Equations. Aamir Mustafa, Rafal K. Mantiuk. [PDF], Graph2Pix: A Graph-Based Image to Image Translation Framework. Longquan Dai, Jinhui Tang. arxiv 2022. The inference results are saved in the folder checkpoints/deepfashionHD/test. Abstract We present the full-resolution correspondence learning for cross-domain images, which aids image translation. Dina Bashkirova, Ben Usman, Kate Saenko. [PDF] [Github] [Project], Preserving Semantic and Temporal Consistency for Unpaired Video-to-Video Translation. Unzip the file and rename it as img. IJCAI 2019. full resolution correspondence learning for image translation. [PDF][Github][Project] Guided Image-to-Image Translation With Bi-Directional Feature Transformation. Cooper Nederhood, Nicholas Kolkin, Deqing Fu, Jason Salavon. Download the pretrained VGG model from this link, move it to vgg/ folder. For more information, please see our [PDF] [Github] Kanishka Rao, Chris Harris, Alex Irpan, Sergey Levine, Julian Ibarz, Mohi Khansari. Guillaume Lample, Neil Zeghidour, Nicolas Usunier, Antoine Bordes, Ludovic Denoyer, Marc'Aurelio Ranzato. Yunjey Choi, Youngjung Uh, Jaejun Yoo, Jung-Woo Ha. TOG 2021. Yuda Song, Hui Qian, Xin Du. [PDF] [Project] [Github] Fei Gao, Xingxin Xu, Jun Yu, Meimei Shang, Xiang Li, and Dacheng Tao. You need to install conda first, and then run conda env create --file asset/dualrcnet.yml To activate the environment, run conda activate dualrcnet Preparing data Teachers Do More Than Teach: Compressing Image-to-Image Models. Rui Zhang, Tomas Pfister, Jia Li. contact dblp; Xingran Zhou et al. arxiv 2022. Rinon Gal, Or Patashnik, Haggai Maron, Gal Chechik, Daniel Cohen-Or. Yuval Alaluf, Or Patashnik, Daniel Cohen-Or. Subhankar Roy, Aliaksandr Siarohin, Enver Sangineto, Nicu Sebe, Elisa Ricci. We offer the keypoints detection results used in our experiment in this link. full resolution correspondence learning for image translation. van der Ouderaa, Daniel E. Worrall. Han Shu, Yunhe Wang, Xu Jia, Kai Han, Hanting Chen, Chunjing Xu, Qi Tian, Chang Xu. In each All persons copying this information are expected to adhere to the terms and constraints invoked We use this model to calculate training loss. Jiaming Song, Neural Wireframe Renderer: Learning Wireframe to Image Translations. arxiv 2019. 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. Semantic Relation Preserving Knowledge Distillation for Image-to-Image Translation. [PDF] [Github], PI-Trans: Parallel-ConvMLP and Implicit-Transformation Based GAN for Cross-View Image Translation. We adopt a hierarchical strategy that uses the correspondence from the coarse level to guide the finer levels. [PDF] ICCV 2019 Workshops. Xiaokang Zhang, Yuanlue Zhu, Wenting Chen, Wenshuang Liu, Linlin Shen. Attentive Normalization for Conditional Image Generation. ICLR 2020. Luigi Musto, Andrea Zinelli. [accepted paper list] [PDF] [Supplementary PDF] [Github], CartoonRenderer: An Instance-based Multi-Style Cartoon Image Translator. [PDF] [Github], The Surprising Effectiveness of Linear Unsupervised Image-to-Image Translation. espe We present a novel method for exemplar-based image translation, called Abstract: We present the full-resolution correspondence learning for cross-domain images, which aids image translation. Or Patashnik, Dov Danon, Hao Zhang, Daniel Cohen-Or. Helisa Dhamo, Azade Farshad, Iro Laina, Nassir Navab, Gregory D. Hager, Federico Tombari, Christian Rupprecht. Weichen Fan, Jinghuan Chen, Jiabin Ma, Jun Hou, Shuai Yi. [Github] [PDF], MixerGAN: An MLP-Based Architecture for Unpaired Image-to-Image Translation. Jun-Yan Zhu, Taesung Park, Phillip Isola, Alexei A. Efros. Yaxing Wang, Joost van de weijer, Lu Yu, Shangling Jui. Pauliina Paavilainen, Saad Ullah Akram, Juho Kannala. [PDF] Tristan Bepler, Ellen Zhong, Kotaro Kelley, Edward Brignole, Bonnie Berger.*. [PDF] [Github], StyleGAN-NADA: CLIP-Guided Domain Adaptation of Image Generators. Download the pretrained model from this link. Xinpeng Xie, Jiawei Chen, Yuexiang Li, Linlin Shen, Kai Ma, Yefeng Zheng. Guanglei Yang, Hao Tang, Humphrey Shi, Mingli Ding, Nicu Sebe, Radu Timofte, Luc Van Gool, Elisa Ricci. Make sure you have prepared the DeepfashionHD dataset as the instruction. Yang Zhao, Changyou Chen. RL-CycleGAN: Reinforcement Learning Aware Simulation-To-Real. Jianxin Lin, Zhibo Chen, Yingce Xia, Sen Liu, Tao Qin, 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. Interactive Sketch & Fill: Multiclass Sketch-to-Image Translation. If the password is necessary, please contact this link to access the dataset. QS-Attn: Query-Selected Attention for Contrastive Learning in I2I Translation. ICPR 2020. arxiv 2021. Liyun Zhang, Photchara Ratsamee, Bowen Wang, Zhaojie Luo, Yuki Uranishi, Manabu Higashida, Haruo Takemura. Cross-Granularity Learning for Multi-Domain Image-to-Image Translation. Runfa Chen, Wenbing Huang, Binghui Huang, Fuchun Sun, Bin Fang. [PDF] [Github], Region-aware Knowledge Distillation for Efficient Image-to-Image Translation. We adopt a hierarchical strategy that uses the correspondence from coarse level to guide the fine levels. ICLR 2017. TIP 2019 (ACCV 2018 Extension) [PDF] [GitHub], SMIT: Stochastic Multi-Label Image-to-Image Translation. arxiv 2020. Xuguang Lai, Xiuxiu Bai, Yongqiang Hao. Towards Visual Feature Translation. Junyoung Seo, Gyuseong Lee, Seokju Cho, Jiyoung Lee, Seungryong Kim. ! Yueqin Yin, Lianghua Huang, Yu Liu, Kaiqi Huang. 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. Jinsong Zhang, Kun Li, Yu-Kun Lai, Jingyu Yang. [PDF], Recapture as You Want. We use 8 32GB Tesla V100 GPUs to train the network. [PDF] [Github], Deep Sketch-guided Cartoon Video Synthesis. Yael Vinker, Eliahu Horwitz, Nir Zabari, Yedid Hoshen. [PDF] Experiments on diverse translation tasks show our approach performs considerably better than state-of-the-arts on producing high-resolution . arxiv 2022. Bin Ren, Hao Tang, Yiming Wang, Xia Li, Wei Wang, Nicu Sebe. Xiang Xu, Megha Nawhal, Greg Mori, Manolis Savva. CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation. Taewon Kang, Soohyun Kim, Sunwoo Kim, Seungryong Kim. [PDF], Diffusion-based Image Translation using Disentangled Style and Content Representation. Shawn Mathew, Saad Nadeem, Sruti Kumari, Arie Kaufman. Guillaume Couairon, Asya Grechka, Jakob Verbeek, Holger Schwenk, Matthieu Cord. Now the the directory structure is like: The inference results are saved in the folder checkpoints/deepfashionHD/test. We use 8 32GB Tesla V100 GPUs to train the network. [PDF] performs considerably better than state-of-the-arts on producing Alex Andonian, Taesung Park, Bryan Russell, Phillip Isola, Jun-Yan Zhu, Richard Zhang. [PDF], Frequency Domain Image Translation: More Photo-realistic, Better Identity-preserving. Instance-wise Hard Negative Example Generation for Contrastive Learning in Unpaired Image-to-Image Translation. Note the file name is img_highres.zip. [PDF] [Github] Prajwal Renukanand, Rudrabha Mukhopadhyay, Jerin Philip, Abhishek Jha, Vinay Namboodiri and C.V. Jawahar. ./dataset/deepfashionHD/pose\MEN\Denim\id_00000089\02_7_additional_candidate.txt not found. Min Zhao, Fan Bao, Chongxuan Li, Jun Zhu. 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 . [PDF] [Github] Learning to Transfer: Unsupervised Domain Translation via Meta-Learning. Face-to-Parameter Translation for Game Character Auto-Creation. The-Phuc Nguyen, Stphane Lathuilire, Elisa Ricci. [PDF] RIFT: Disentangled Unsupervised Image Translation via Restricted Information Flow. [PDF] Unzip the file and rename it as img. First download the Deepfashion dataset (high resolution version) from this link. Tao Yang, Peiran Ren, Xuansong Xie, Xiansheng Hua, Lei Zhang. dataset/DeepFashionHD. XingGAN for Person Image Generation. arxiv 2020. AAAI 2019. Yunfei Liu, Haofei Wang, Yang Yue, Feng Lu. Chenlin Meng, Springer Machine Vision and Applications 2021. [PDF] [Github] [PDF] [Github] Chanyong Jung, Gihyun Kwon, Jong Chul Ye. Thiemo Alldieck, Gerard Pons-Moll, Christian Theobalt, Marcus Magnor. [PDF] [Project] [Github] [PDF] WACV 2020. From Design Draft to Real Attire: Unaligned Fashion Image Translation. CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation We present the full-resolution correspondence learning for cross-domain images, which aids image translation. [PDF], Bridging the Gap Between Paired and Unpaired Medical 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. [PDF], TriGAN: Image-to-Image Translation for Multi-Source Domain Adaptation. Zekun Hao, Arun Mallya, Serge Belongie, Ming-Yu Liu. AAAI 2021. file in archive is not in a subdirectory archive/: latest_net_D.pth, Traceback (most recent call last): Hanting Chen, Yunhe Wang, Han Shu, Changyuan Wen, Chunjing Xu, Boxin Shi, Chao Xu, Chang Xu. Deep CG2Real: Synthetic-to-Real Translation via Image Disentanglement. Julia Wolleb, Robin Sandkhler, Florentin Bieder, Philippe C. Cattin. [PDF], Image-to-Image Translation with Multi-Path Consistency Regularization. Stefano Ermon. We present the full-resolution correspondence learning for cross-domain images, which aids image translation. Bringing Old Photos Back to Life. full resolution correspondence learning for image translation You signed in with another tab or window. LPTN: High-Resolution Photorealistic Image Translation in Real-Time: A Laplacian Pyramid Translation Network. Mohamed Abderrahmen Abid, Ihsen Hedhli, Jean-Franois Lalonde, Christian Gagne. Guim Perarnau, Joost van de Weijer, Bogdan Raducanu, Jose M. lvarez. arxiv 2020. [PDF], Complementary, Heterogeneous and Adversarial Networks for Image-to-Image Translation. [PDF] [Github] [PDF], AttGAN: Facial Attribute Editing by Only Changing What You Want. We present the full-resolution correspondence learning for cross-domain images, which aids image translation. As an Amazon Associate, we earn from qualifying purchases. Peiye Zhuang, Oluwasanmi Koyejo, Alexander G. Schwing. [PDF] [Github] TSIT: A Simple and Versatile Framework for Image-to-Image Translation. [PDF] Jiaze Sun, Binod Bhattarai, Tae-Kyun Kim. Wayne Wu, Kaidi Cao, Cheng Li, Chen Qian, Chen Change Loy. 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.