Ruizheng Wu, Xin Tao, Xiaodong Gu, Xiaoyong Shen, Jiaya Jia. [PDF][Project] [Unofficial] Deep CG2Real: Synthetic-to-Real Translation via Image Disentanglement. [PDF] [Github] Grigory Antipov, Moez Baccouche, Jean-Luc Dugelay. Yael Vinker, Eliahu Horwitz, Nir Zabari, Yedid Hoshen. Nevertheless, finding a definition of what is aesthetic is not At each hierarchy, the correspondence can be efficiently computed via PatchMatch that iteratively leverages the . Posted on . arxiv 2020. Jiaming Song, [PDF], C2-GAN: Cycle In Cycle Generative Adversarial Networks for Keypoint-Guided Image Generation. Simyung Chang, SeongUk Park, John Yang, Nojun Kwak. Hashtags For Anime ArtHashtag #anime difficulty: 171. Most Popular [PDF] [Github], Show, Attend and Translate: Unsupervised Image Translation with Self-Regularization and Attention. You can set batchSize to 16, 8 or 4 with fewer GPUs and change gpu_ids. [PDF] ICPR 2021. Dong Chen's Homepage ICCV 2017. [PDF] Avishkar Saha, Oscar Mendez Maldonado, Chris Russell, Richard Bowden. [PDF] [Github], Leveraging Local Domains for Image-to-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. Wenju Xu, Shawn Keshmiri, Guanghui Wang. Ziwei Luo, Jing Hu, Xin Wang, Siwei Lyu, Bin Kong, Youbing Yin, Qi Song, Xi Wu. Experiments on diverse translation tasks show that CoCosNet v2 performs considerably better than state-of-the-art literature on producing high-resolution images. Alex Andonian, Taesung Park, Bryan Russell, Phillip Isola, Jun-Yan Zhu, Richard Zhang. ICPR 2020. We use 8 32GB Tesla V100 GPUs to train the network. Shaoan Xie, Qirong Ho, Kun Zhang. [PDF], DosGAN: Exploring Explicit Domain Supervision for Latent Space Disentanglement in Unpaired Image-to-Image Translation. Yaniv Taigman, Adam Polyak, Lior Wolf. Linfeng Zhang, Xin Chen, Xiaobing Tu, Pengfei Wan, Ning Xu, Kaisheng Ma. when I run the test, I got the keyerror results. arxiv 2022. arxiv 2020. UNIST: Unpaired Neural Implicit Shape Translation Network. [PDF], Stylizing Video by Example. DiffusionCLIP: Text-Guided Diffusion Models for Robust Image Manipulation. [PDF], Learning to Caricature via Semantic Shape Transform. (2021) Dagstuhl. [PDF] van der Ouderaa, Daniel E. Worrall. Lin Wang, Yujeong Chae, Kuk-Jin Yoon. [PDF] [Github] [Project], Semantically Adaptive Image-to-image Translation for Domain Adaptation of Semantic Segmentation. Mu Cai, Hong Zhang, Huijuan Huang, Qichuan Geng, Gao Huang. First download the Deepfashion dataset (high resolution version) from this link. 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. MICCI Workshop 2021. Thiemo Alldieck, Gerard Pons-Moll, Christian Theobalt, Marcus Magnor. full resolution correspondence learning for image translation [PDF] Blind Image Decomposition is a novel task. [PDF] CoCosNet v2: Full-Resolution Correspondence Learning for Image Experiments on diverse translation tasks show that CoCosNet v2 performs considerably better than state-of-the-art literature on producing high-resolution images. arxiv 2021. Image and Vision Computing 2020. Saliency-Guided Image Translation. arxiv 2021. TimeCycle Code for Learning Correspondence from the Cycle-consistency of Time (CVPR 2019, Oral). [PDF] ACM MM 2019. 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. Or fastest delivery Wed, Nov 2. [PDF] Our method is a one-sided mapping method for unpaired image-to-image translation, considering enhancing the performance of the generator and discriminator. Intuitive, Interactive Beard and Hair Synthesis with Generative Models. Matthew Amodio, Smita Krishnaswamy. full resolution correspondence learning for image translation Springer Machine Vision and Applications 2021. Wonwoong Cho, Kangyeol Kim, Eungyeup Kim, Hyunwoo J. Kim, Jaegul Choo. [PDF], Online Exemplar Fine-Tuning for Image-to-Image Translation. Unzip the file and rename it as img. [PDF] Jie Hu, Rongrong Ji, Hong Liu, Shengchuan Zhang, Cheng Deng, Qi Tian. Download them all and move below the folder data/. ACM MM 2019. Aviv Gabbay, Yedid Hoshen. year = {2021}, 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. We offer the keypoints detection results used in our experiment in this link. ICLR 2022. [Github] [PDF], UNIT: Unsupervised Image-to-Image Translation Networks. TPAMI 2022. Wenju Xu, Guanghui Wang. We use 8 32GB Tesla V100 GPUs to train the network. [PDF] Jonghuyn Kim, Gen Li, Cheolkon Jung, Joongkyu Kim. Liming Jiang, Changxu Zhang, Mingyang Huang, Chunxiao Liu, Jianping Shi, Chen Change Loy. [PDF] Ziyu Wan, Bo Zhang, Dongdong Chen, Pan Zhang, Dong Chen, Jing Liao, Fan Wen. The proposed CoCosNet v2, a GRU-assisted PatchMatch approach, is fully differentiable and highly efficient. [PDF] [Github] [Project] [PDF] [PDF] [Github], PI-Trans: Parallel-ConvMLP and Implicit-Transformation Based GAN for Cross-View Image Translation. [PDF] Multi-Channel Attention Selection GAN With Cascaded Semantic Guidance for Cross-View Image Translation. Multi-feature contrastive learning for unpaired image-to-image translation He has since then inculcated very effective writing and reviewing culture at pythonawesome which rivals have found impossible to imitate. Thank you and wish you success in your scientific research! Go From the General to the Particular: Multi-Domain Translation with Domain Transformation Networks. Ying-Cong Chen, Jiaya Jia. [PDF], IEGAN: Independent Encoder for Deep Hierarchical Unsupervised Image-to-Image Translation. If you use this code for your research, please cite our papers. Ben Usman, Nick Dufour, Kate Saenko, Chris Bregler. Finally create the root folder deepfashionHD, and move the folders img and pose below it. World-Consistent Video-to-Video Synthesis. Lifan Zhao, Yunlong Meng, Lin Xu. Face-to-Parameter Translation for Game Character Auto-Creation. [PDF], DCN: Zero-Pair Image to Image Translation using Domain Conditional Normalization. BMVC 2021 (Oral). Cooper Nederhood, Nicholas Kolkin, Deqing Fu, Jason Salavon. [PDF] [Github] [PDF] [Github] [PDF] [Github], Improving Style-Content Disentanglement in Image-to-Image Translation. [PDF], DiffGAR: Model-Agnostic Restoration from Generative Artifacts Using Image-to-Image Diffusion Models. BMVC 2021 (Oral). [PDF] [Project] Neural Networks 2020. CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation Authors: Xingran Zhou Bo Zhang Microsoft Ting Zhang Pan Zhang University of Science and Technology of China Content. Helisa Dhamo, Azade Farshad, Iro Laina, Nassir Navab, Gregory D. Hager, Federico Tombari, Christian Rupprecht. [PDF] [Github] Long-Term Temporally Consistent Unpaired Video Translation from Simulated Surgical 3D Data. [PDF] Attack As the Best Defense: Nullifying Image-to-Image Translation GANs via Limit-Aware Adversarial Attack. DeepMosaics: Automatically remove the mosaics in images and videos, or add mosaics to them, A simple rest api that classifies pneumonia infection weather it is Normal, Pneumonia Virus or Pneumonia Bacteria from a chest-x-ray image, Camera Distance-aware Top-down Approach for 3D Multi-person Pose Estimation from a Single RGB Image, Towards Flexible Blind JPEG Artifacts Removal in python. Dingdong Yang, Seunghoon Hong, Yunseok Jang, Tianchen Zhao, Honglak Lee. [PDF] [Project] Fabio Pizzati, Raoul de Charette, Michela Zaccaria, Pietro Cerri. Transactions on Visualizations and Computer Graphics. performs considerably better than state-of-the-arts on producing Move the models below the folder checkpoints/deepfashionHD. [PDF] ICPR 2020. Yunjey Choi, Minje Choi, Munyoung Kim, Jung-Woo Ha, Sunghun Kim, Jaegul Choo. AAAI 2019. [PDF] [Github], RF-GAN: A Light and Reconfigurable Network for Unpaired Image-to-Image Translation. TOG 2020. [PDF] [Github] Yulun Zhang, Chen Fang, Yilin Wang, Zhaowen Wang, Zhe Lin, Yun Fu, Jimei Yang. Ivan Anokhin, Pavel Solovev, Denis Korzhenkov, Alexey Kharlamov, Taras Khakhulin, Gleb Sterkin, Alexey Silvestrov, Sergey Nikolenko, Victor Lempitsky. [PDF] [Github], AniGAN: Style-Guided Generative Adversarial Networks for Unsupervised Anime Face Generation. We adopt a hierarchical strategy that uses the correspondence from coarse level to guide the finer levels. Full-Resolution Correspondence Learning for Image Translation [PDF] Reddit and its partners use cookies and similar technologies to provide you with a better experience. I'm planning a future in-depth post with an image processing/deep learning expert, where we'll be getting into the weeds Fine-grained Image-to-Image Transformation towards Visual Recognition. IrwGAN: Unaligned Image-to-Image Translation by Learning to Reweight. Xihui Liu, Guojun Yin, Jing Shao, Xiaogang Wang, Hongsheng Li. Transformation Consistency Regularization: A Semi-Supervised Paradigm for Image-to-Image Translation. Distilling Portable Generative Adversarial Networks for Image Translation. dataloader = data.create_dataloader(opt) arxiv 2020. [PDF] 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. Translation, Image Translation by Latent Union of Subspaces for Cross-Domain Plaque [PDF] [Project] [Github] Shuchang Zhou, Taihong Xiao, Yi Yang, Dieqiao Feng, Qinyao He, Weiran He. Badour AlBahar, Jia-Bin Huang. Zekang Chen, Jia Wei, Rui Li. 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. Arbish Akram and Nazar Khan. File "/home/kas/CoCosNet-v2/data/init.py", line 33, in create_dataloader Model-based Occlusion Disentanglement for Image-to-image Translation. Since the original resolution of DeepfashionHD is 750x1101, we use a Python script to process the images to the resolution 512x512. IJCV 2019. Towards Instance-Level Image-To-Image Translation. We adopt a hierarchical strategy that uses the correspondence from coarse level to guide the finer levels with the proposed GRU-assisted PatchMatch. Chanyong Jung, Gihyun Kwon, Jong Chul Ye. If the password is necessary, please contact this link to access the dataset. If you think I have missed out on something (or) have any suggestions (papers, implementations and other resources), feel free to pull a request. File "train.py", line 21, in [PDF] full resolution correspondence learning for image translation Junlin Han, Mehrdad Shoeiby, Lars Petersson, Mohammad Ali Armin.

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