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. NICE: Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation. MICCI Workshop 2021. At each hierarchy, the correspondence can be efficiently computed via PatchMatch that iteratively leverages the matchings from the neighborhood. Jonghuyn Kim, Gen Li, Cheolkon Jung, Joongkyu Kim. 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. Make sure you have prepared the DeepfashionHD dataset as the instruction. Deep CG2Real: Synthetic-to-Real Translation via Image Disentanglement. [PDF] 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. Figure 10: Pose-to-body image translation results at resolution 512 512. Qimin Chen, Johannes Merz, Aditya Sanghi, Hooman Shayani, Ali Mahdavi-Amiri, Hao (Richard) Zhang. Download the train-val lists from this link, and the retrival pair lists from this link. ICCV Workshop 2021. Smoothing the Disentangled Latent Style Space for Unsupervised Image-to-Image Translation. Zewei Sun, Shujian Huang, Hao-Ran Wei, Xin-yu Dai, Jiajun Chen. [PDF] [Github], Unpaired Photo-to-manga Translation Based on The Methodology of Manga Drawing. Xiaokang Zhang, Yuanlue Zhu, Wenting Chen, Wenshuang Liu, Linlin Shen. Memory-guided Unsupervised Image-to-image Translation. [Github] [PDF], UNIT: Unsupervised Image-to-Image Translation Networks. 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. Model-Aware Gesture-to-Gesture Translation. [PDF] [GIthub], Cross-Domain Cascaded Deep Feature Translation. We present the full-resolution correspondence learning for cross-domain images, which aids image translation. Art2Real: Unfolding the Reality of_Artworks via Semantically-Aware Image-To-Image Translation. Baran Ozaydin, Tong Zhang, Sabine Susstrunk, Mathieu Salzmann. Ruizheng Wu, Xin Tao, Xiaodong Gu, Xiaoyong Shen, Jiaya Jia. [PDF] [Github], iFlowGAN: An Invertible Flow-based Generative Adversarial Network For Unsupervised Image-to-Image Translation. We present the full-resolution correspondence learning for cross-domain images, which aids image translation. hierarchy, the correspondence can be efficiently computed via PatchMatch that Translation, Image Translation by Latent Union of Subspaces for Cross-Domain Plaque 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. TIP 2019. As an Amazon Associate, we earn from qualifying purchases. [PDF] [Project] [Github] EG-UNIT: Exemplar Guided Unsupervised Image-to-Image Translation with Semantic Consistency. Ruobing Zheng, Ze Luo, Baoping Yan. Zekang Chen, Jia Wei, Rui Li. Guided Variational Autoencoder for Disentanglement Learning. [PDF] [Github], DRIT++: Diverse Image-to-Image Translation via Disentangled Representations. Fabio Pizzati, Jean-Franois Lalonde, Raoul de Charette. Intuitive, Interactive Beard and Hair Synthesis with Generative Models. Reddit and its partners use cookies and similar technologies to provide you with a better experience. Tristan Bepler, Ellen Zhong, Kotaro Kelley, Edward Brignole, Bonnie Berger.*. We use OpenPose to estimate pose of DeepFashion(HD). Mu Cai, Hong Zhang, Huijuan Huang, Qichuan Geng, Yixuan Li, Gao Huang. Rinon Gal, Or Patashnik, Haggai Maron, Gal Chechik, Daniel Cohen-Or. Hsin-Ying Lee, Hung-Yu Tseng, Qi Mao, Jia-Bin Huang, Yu-Ding Lu, Maneesh Singh, Ming-Hsuan Yang. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. author = {Zhou, Xingran and Zhang, Bo and Zhang, Ting and Zhang, Pan and Bao, Jianmin and Chen, Dong and Zhang, Zhongfei and Wen, Fang}, [PDF] [Github], Exploiting Time-Series Image-to-Image Translation to Expand the Range of Wildlife Habitat Analysis. ICPR 2021. We adopt a hierarchical strategy that uses the correspondence from coarse level to guide the fine levels. [PDF] [PDF], Gated SwitchGAN for multi-domain facial image translation. Ying-Cong Chen, Xiaogang Xu and Jiaya Jia. Siyuan Li, Semih Gnel, Mirela Ostrek, Pavan Ramdya, Pascal Fua, Helge Rhodin. 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. Download and unzip the results file. [PDF] [Github], LSC-GAN: Latent Style Code Modeling for Continuous Image-to-image Translation. Note the file name is img_highres.zip. Eitan Richardson, Yair Weiss. The proposed CoCosNet v2, a GRU-assisted PatchMatch approach, is fully differentiable and highly efficient. File "/home/kas/CoCosNet-v2/data/pix2pix_dataset.py", line 33, in initialize Reference-Based Sketch Image Colorization using Augmented-Self Reference and Dense Semantic Correspondence. Justin Theiss, Jay Leverett, Daeil Kim, Aayush Prakash. arxiv 2021. [PDF], Few-shot Semantic Image Synthesis Using StyleGAN Prior. [PDF] Zhengxia Zou, Tianyang Shi, Shuang Qiu, Yi Yuan, Zhenwei Shi. Unbalanced Feature Transport for Exemplar-based Image Translation. Overview Dual-Resolution Correspondence Network Dual-Resolution Correspondence Network, NeurIPS 2020 Dependency All dependencies are included in asset/dualrcnet.yml. 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. Yuanbin Fu, Jiayi Ma, Lin Ma, Xiaojie Guo. Face-to-Parameter Translation for Game Character Auto-Creation. [PDF] [Github] Learning to Cartoonize Using White-box Cartoon Representations. [PDF] [Github] TOG 2020. [PDF] Run the following command for training from scratch. [PDF], FairfaceGAN: Fairness-aware Facial Image-to-Image Translation. [PDF] [Project] [Github] The inference results are saved in the folder checkpoints/deepfashionHD/test. Matteo Tomei, Marcella Cornia, Lorenzo Baraldi, Rita Cucchiara. Qing Jin, Jian Ren, Oliver J. Woodford, Jiazhuo Wang, Geng Yuan, Yanzhi Wang, Sergey Tulyakov. IJCV 2020. Qiusheng Huang, Zhilin Zheng, Xueqi Hu, Li Sun, Qingli Li. [PDF] Blind Image Decomposition is a novel task. Subhankar Roy, Aliaksandr Siarohin, Enver Sangineto, Nicu Sebe, Elisa Ricci. UCTGAN: Diverse Image Inpainting Based on Unsupervised Cross-Space Translation. OA-FSUI2IT: A Novel Few-Shot Cross Domain Object Detection Framework with Object-aware Few-shot Unsupervised Image-to-Image Translation. I'm planning a future in-depth post with an image processing/deep learning expert, where we'll be getting into the weeds [PDF] Feedback and contributions are welcome! Bing Li, Yuanlue Zhu, Yitong Wang, Chia-Wen Lin, Bernard Ghanem, Linlin Shen. FUNIT: Few-Shot Unsupervised Image-to-Image Translation. Muyang Li, Ji Lin, Yaoyao Ding, Zhijian Liu, Jun-Yan Zhu, and Song Han. TOG 2019. [PDF] [Github], Unsupervised Image-to-Image Translation via Pre-trained StyleGAN2 Network. Taewon Kang, Soohyun Kim, Sunwoo Kim, Seungryong Kim. Mohamed Abderrahmen Abid, Ihsen Hedhli, Jean-Franois Lalonde, Christian Gagne. Hanbit Lee, Jinseok Seol, Sang-goo Lee. We adopt a hierarchical strategy that uses the correspondence from coarse level to guide the finer levels. TIP 2021. arxiv 2020. Zekun Hao, Arun Mallya, Serge Belongie, Ming-Yu Liu. Runtao Liu, Qian Yu, Stella Yu. pages = {11465-11475} Liqian Ma, Xu Jia, Stamatios Georgoulis, Tinne Tuytelaars, Luc Van Gool. 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. Image-to-Image Translation Tasks, IR2VI: Enhanced Night Environmental Perception by Unsupervised Thermal RABIT: Bi-level Feature Alignment for Versatile Image Translation and Manipulation. Finally create the root folder deepfashionHD, and move the folders img and pose below it. @InProceedings{Zhou_2021_CVPR, Xueqi Hu, Xinyue Zhou, Qiusheng Huang, Zhengyi Shi, Li Sun, Qingli Li. Min Woo Kim, Nam Ik Cho. arxiv 2023. CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation. [PDF], Global and Local Alignment Networks for Unpaired Image-to-Image Translation. [PDF], EDIT: Exemplar-Domain Aware Image-to-Image Translation. WACV 2020. Prasun Roy, Saumik Bhattacharya, Subhankar Ghosh, Umapada Pal. [PDF] [Github], The Surprising Effectiveness of Linear Unsupervised Image-to-Image Translation. arxiv 2022. arxiv 2022. 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. [PDF][Project] [Github] Long Zhuo, Guangcong Wang, Shikai Li, Wayne Wu, Ziwei Liu. [PDF] [Github], Region-aware Knowledge Distillation for Efficient Image-to-Image Translation. [PDF] [Github] Abstract We present the full-resolution correspondence learning for cross-domain images, which aids image translation. [PDF] Mingcong Liu, Qiang Li, Zekui Qin, Guoxin Zhang, Pengfei Wan, Wen Zheng. GAN-Based Unpaired Chinese Character Image Translation via Skeleton Transformation and Stroke Rendering. arxiv 2020. Unsupervised Multi-Modal Image Registration via Geometry Preserving Image-to-Image Translation. arxiv 2021. [PDF] Learning Temporally and Semantically Consistent Unpaired Video-to-Video Translation through PseudoSupervision from Synthetic Optical Flow. uses the correspondence from coarse level to guide the finer levels. At each hierarchy, the correspondence can be efficiently computed via PatchMatch that iteratively leverages the . [PDF] World-Consistent Video-to-Video Synthesis. We present the full-resolution correspondence learning for cross-domain images, which aids image translation. [PDF] [Github], Separating Content and Style for Unsupervised Image-to-Image Translation. dataloader = data.create_dataloader(opt) LPTN: High-Resolution Photorealistic Image Translation in Real-Time: A Laplacian Pyramid Translation Network. Marginal Contrastive Correspondence for Guided Image Generation. [PDF] [Github], BalaGAN: Image Translation Between Imbalanced Domains via Cross-Modal Transfer. Unsupervised Image-to-Image Translation with Generative Prior. TPAMI 2021. arxiv 2020. [PDF] NeurIPS 2017. [Github], CrossNet: Latent Cross-Consistency for Unpaired Image Translation. Unpaired Image-to-Image Translation using Adversarial Consistency Loss. [PDF] Retrieval Guided Unsupervised Multi-domain 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. [PDF] [arxiv] [project] TypeError: cannot unpack non-iterable NoneType object, Few-shot Image Generation via Cross-domain Correspondence Utkarsh Ojha, Yijun Li, Jingwan Lu, Alexei A. Efros, Yong Jae Lee, Eli Shechtman, Richard Zh, Reference-Based-Sketch-Image-Colorization-ImageNet This is a PyTorch implementation of CVPR 2020 paper (Reference-Based Sketch Image Colorization usin, Realistic Full-Body Anonymization with Surface-Guided GANs This is the official, Image Quality Evaluation Metrics Implementation of some common full reference image quality metrics. arxiv 2020. We present a general framework for exemplar-based image . Guansong Lu, Zhiming Zhou, Yuxuan Song, Kan Ren, Yong Yu. ICCV 2017. Image Translation, Marginal Contrastive Correspondence for Guided Image Generation, Exploring Patch-wise Semantic Relation for Contrastive Learning in 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. First, we propose a versatile image translation and manipulation framework which introduces a ranking and attention Scheme for bi-level feature alignment that greatly reduces the memory cost while building the correspondence between conditional inputs and exemplars. isd194 staff calendar. [PDF] [Project] [Github] [PDF], Multi-Channel Attention Selection GANs for Guided Image-to-Image Translation. IJCV 2019. Tamar Rott Shaham, Michael Gharbi, Richard Zhang, Eli Shechtman, Tomer Michaeli. arxiv 2020. [PDF] Experiments on diverse translation tasks show our approach performs considerably better than state-of-the-arts on producing high-resolution images. For more information, FAU Implementation of the paper: Facial Action Unit Intensity Estimation via Semantic Correspondence Learning with Dynamic Graph Convolution. [PDF], AttGAN: Facial Attribute Editing by Only Changing What You Want. Shaoan Xie, Qirong Ho, Kun Zhang. Panoptic-Aware Image-to-Image Translation. [PDF] Style-Guided and Disentangled Representation for Robust Image-to-Image Translation. [PDF] [Github] ACM MM 2019. ECCV 2022 Workshop on Learning from Limited and Imperfect Data (L2ID). [PDF] RL-CycleGAN: Reinforcement Learning Aware Simulation-To-Real. booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, (An extended version of SelectionGAN published in CVPR2019) [PDF] [Githtub], CDGAN: Cyclic Discriminative Generative Adversarial Networks for Image-to-Image Transformation. Yu Han, Shuai Yang, Wenjing Wang, Jiaying Liu. Unsupervised Image-to-Image Translation with Density Changing Regularization. Zhen Zhu, Zhiliang Xu, Ansheng You, Xiang Bai. Modulated Contrast for Versatile Image Synthesis. [PDF] Yi Wang, Ying-Cong Chen, Xiangyu Zhang, Jian Sun and Jiaya Jia. Unzip the file and rename it as img. [PDF] [PDF][Github][Project] ! [PDF][Github][Project] 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. AAAI 2019. Hao Tang, Dan Xu, Gaowen Liu, Wei Wang, Nicu Sebe, Yan Yan. [PDF] Hao Tang, Dan Xu, Yan Yan, Jason J. Corso, Philip H.S. arxiv 2020. In this paper, we propose a multi-feature contrastive learning method. arxiv 2021. TOG 2020. Co-Evolutionary Compression for Unpaired Image Translation. Thiemo Alldieck, Gerard Pons-Moll, Christian Theobalt, Marcus Magnor. Chanyong Jung, Gihyun Kwon, Jong Chul Ye. [PDF] [Github], Neural Photometry-guided Visual Attribute Transfer. Exploring Patch-Wise Semantic Relation for Contrastive Learning in Image-to-Image Translation Tasks. [PDF] [Github], GeneGAN: Learning Object Transfiguration and Attribute Subspace from Unpaired Data. Dongyeun Lee, Jae Young Lee, Doyeon Kim, Jaehyun Choi, Junmo Kim. The Spatially-Correlative Loss for Various Image Translation Tasks. 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. [PDF] [PDF] [Github], A Domain Gap Aware Generative AdversarialNetwork for Multi-domain 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. Chao Yang, Taehwan Kim, Ruizhe Wang, Hao Peng, C.-C. Jay Kuo. [PDF] [Github], Stochastic Actor-Executor-Critic for Image-to-Image Translation. [PDF] [Github], Image-to-Image Translation with Low Resolution Conditioning. What's the problem? Fabio Pizzati, Pietro Cerri, Raoul de Charette. Wanfeng Zheng, Qiang Li, Guoxin Zhang, Pengfei Wan, Zhongyuan Wang. NeurIPS 2020. Developing shipment plans as per product availability and request from customers. [PDF], Deliberation Learning for Image-to-Image Translation. Abstract: A huge number of publications are devoted to aesthetic emotions; Google Scholar gives 319,000 references. Bin Ren, Hao Tang, Nicu Sebe. Kwanyong Park, Sanghyun Woo, Dahun Kim, Donghyeon Cho, In So Kweon. [PDF], RL-GAN: Transfer Learning for Related Reinforcement Learning Tasks via Image-to-Image Translation. [PDF] [GitHub] You can set batchSize to 16, 8 or 4 with fewer GPUs and change gpu_ids. This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository. (we used Pytorch 1.7.0 in our experiments). 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. by each author's copyright. [PDF], StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation. [PDF] [Github] [PDF] AAAI 2021. Wonwoong Cho, Sungha Choi, David Keetae Park, Inkyu Shin, Jaegul Choo. DivCo: Diverse Conditional Image Synthesis via Contrastive Generative Adversarial Network. When jointly trained with image We use 8 32GB Tesla V100 GPUs to train the network. arxiv 2022. TOG 2019. Shaoan Xie, Mingming Gong, Yanwu Xu, Kun Zhang. 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. The-Phuc Nguyen, Stphane Lathuilire, Elisa Ricci. [PDF] [Project] [Github] [TensorFlow], pix2pix: Image-to-Image Translation with Conditional Adversarial Networks. We adopt a hierarchical strategy that uses the correspondence from coarse level to guide the finer levels with the proposed GRU-assisted PatchMatch. CoCosNet: Cross-domain Correspondence Learning for Exemplar-based Image Translation. Rui Zhang, Tomas Pfister, Jia Li. Fangneng Zhan, Yingchen Yu, Kaiwen Cui, Gongjie Zhang, Shijian Lu, Jianxiong Pan, Changgong Zhang, Feiying Ma, Xuansong Xie, Chunyan Miao. full resolution correspondence learning for image translation. Stefano Ermon. We use OpenPose to estimate pose of DeepFashion(HD). [PDF] Nick Lawrence, Mingren Shen, Ruiqi Yin, Cloris Feng, Dane Morgan. ReMix: Towards Image-to-Image Translation with Limited Data. Generating Diverse Translation by Manipulating Multi-Head Attention. [PDF], MatchGAN: A Self-Supervised Semi-Supervised Conditional Generative Adversarial Network. arxiv 2022. [PDF] [Project] [Github] [Data] [PDF], Full-Resolution Correspondence Learning for Image Translation. Hao Tang, Dan Xu, Yan Yan, Philip H. S. Torr, Nicu Sebe. Grigory Antipov, Moez Baccouche, Jean-Luc Dugelay. [PDF], Learning to Caricature via Semantic Shape Transform. Learning to Transfer: Unsupervised Domain Translation via Meta-Learning. [PDF] [Github] ICLR 2017. full resolution correspondence learning for image translation why shouldn't you whistle at night native. Clova AI Research, NAVER Corp. GAN Compression: Efficient Architectures for Interactive Conditional GANs. [PDF] [Github] [Project], Semantically Adaptive Image-to-image Translation for Domain Adaptation of Semantic Segmentation. UNIST: Unpaired Neural Implicit Shape Translation Network. Zhiwei Jia, Bodi Yuan, Kangkang Wang, Hong Wu, David Clifford, Zhiqiang Yuan, Hao Su. Harnessing the Conditioning Sensorium for Improved Image Translation. Transformation Consistency Regularization: A Semi-Supervised Paradigm for Image-to-Image Translation. [Project] [Github] [PDF], IcGAN: Invertible Conditional GANs for Image Editing. Alex Andonian, Taesung Park, Bryan Russell, Phillip Isola, Jun-Yan Zhu, Richard Zhang. Lei Zhao, Qihang Mo, Sihuan Lin, Zhizhong Wang, Zhiwen Zuo, Haibo Chen, Wei Xing, Dongming Lu. TimeCycle Code for Learning Correspondence from the Cycle-consistency of Time (CVPR 2019, Oral). [PDF] Chin-Yuan Yeh, Hsi-Wen Chen, Hong-Han Shuai, De-Nian Yang, Ming-Syan Chen. [PDF] [GitHub] [PDF] ICCV Workshop 2021. [PDF][Github] [PDF] [Project] [Github], Liquid Warping GAN with Attention: A Unified Framework for Human Image Synthesis. Or Patashnik, Dov Danon, Hao Zhang, Daniel Cohen-Or. This code borrows heavily from CocosNet and DeepPruner. 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 find the script in data/preprocess.py. file in archive is not in a subdirectory archive/: latest_net_D.pth, Traceback (most recent call last): Wenju Xu, Shawn Keshmiri, Guanghui Wang. arxiv 2021. arxiv 2020. [PDF], Diffusion-based Image Translation using Disentangled Style and Content Representation. We adopt a hierarchical strategy that uses the correspondence from coarse level to guide the fine levels. Arnab Ghosh, Richard Zhang, Puneet K. Dokania, Oliver Wang, Alexei A. Efros, Philip H. S. Torr, Eli Shechtman. ReversibleGANs for Memory-Efficient ImageTo Image Translation. First download the Deepfashion dataset (high resolution version) from this link. BMVC 2021. ICIP 2020. [PDF], DiscoGAN: Learning to Discover Cross-Domain Relations with Generative Adversarial Networks. [PDF] [Demo] [Github] Zeqi Li, Ruowei Jiang,, Parham Aarabi. Yahui Liu, Yajing Chen, Linchao Bao, Nicu Sebe, Bruno Lepri, Marco De Nadai. Caroline Chan, Shiry Ginosar, Tinghui Zhou, Alexei A. Efros. Nazar Khan, Arbish Akram, Arif Mahmood, Sania Ashraf, Kashif Murtaza. Learn about the duties, responsibilities, and skills for A . Image-To-Image Translation via Group-Wise Deep Whitening-And-Coloring Transformation. arxiv 2020. We offer the keypoints detection results used in our experiment in this link. [PDF] Hanting Chen, Yunhe Wang, Han Shu, Changyuan Wen, Chunjing Xu, Boxin Shi, Chao Xu, Chang Xu. CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation Pauliina Paavilainen, Saad Ullah Akram, Juho Kannala. TIP 2019. Yu Lin, Yigong Wang, Yifan Li, Yang Gao, Zhuoyi Wang, Latifur Khan. Deblina Bhattacharjee, Seungryong Kim, Guillaume Vizier, and Mathieu Salzmann. HiDT: High-Resolution Daytime Translation Without Domain Labels. Yunjey Choi, Youngjung Uh, Jaejun Yoo, Jung-Woo Ha. Describe What to Change: A Text-guided Unsupervised Image-to-Image Translation Approach. CouncilGAN: Breaking The Cycle: Colleagues Are All You Need. Fabio Pizzati, Pietro Cerri, Raoul de Charette. InGAN: Capturing and Retargeting the "DNA" of a Natural Image. Ruho Kondo, Keisuke Kawano, Satoshi Koide, Takuro Kutsuna. Experiments on diverse translation tasks show that CoCosNet v2 performs considerably better than state-of-the-art literature on producing high-resolution images.

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