[PDF] [Project], MCMI: Multi-Cycle Image Translation with Mutual Information Constraints. ICCV 2021 Workshop on AIM. HiDT: High-Resolution Daytime Translation Without Domain Labels. arxiv 2019. CVPR 2022 Workshop on AI for Content Creation (AICC 2022). Semantic Relation Preserving Knowledge Distillation for Image-to-Image Translation. Saliency-Guided Image Translation. Qi Mao, Hsin-Ying Lee, Hung-Yu Tseng, Jia-Bin Huang, Siwei Ma, Ming-Hsuan Yang. DAGAN: Dual Attention GANs for Semantic Image Synthesis. arxiv 2021. Face-to-Parameter Translation for Game Character Auto-Creation. MICCI Workshop 2021. [PDF] Sai Bi, Kalyan Sunkavalli, Federico Perazzi, Eli Shechtman, Vladimir G. Kim, Ravi Ramamoorthi. Eitan Richardson, Yair Weiss. Can you provide configuration files for the other datasets mentioned in the paper? 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], C2-GAN: Cycle In Cycle Generative Adversarial Networks for Keypoint-Guided Image Generation. Oren Katzir, Dani Lischinski, Daniel Cohen-Or. arxiv 2021. van der Ouderaa, Daniel E. Worrall. TraVeLGAN: Image-To-Image Translation by Transformation Vector Learning. [PDF] [Github], iFlowGAN: An Invertible Flow-based Generative Adversarial Network For Unsupervised Image-to-Image Translation. Vignesh Srinivasan, Klaus-Robert Mller, Wojciech Samek, Shinichi Nakajima. RIFT: Disentangled Unsupervised Image Translation via Restricted Information Flow. Tao Yang, Peiran Ren, Xuansong Xie, Xiansheng Hua, Lei Zhang. [PDF] We propose to jointly learn the cross domain correspondence and the image translation, where both tasks facilitate each other and thus can be learned with weak supervision. [PDF], AttentionGAN: Attention-Guided Generative Adversarial Networks for Unsupervised Image-to-Image Translation. Wenju Xu, Guanghui Wang. WACV 2021. [PDF], Stylizing Video by Example. Ming-Yu Liu, Xun Huang, Arun Mallya, Tero Karras, Timo Aila, Jaakko Lehtinen, Jan Kautz. We adopt a hierarchical strategy that uses the correspondence from coarse level to guide the fine levels. Zekang Chen, Jia Wei, Rui Li. TPAMI 2021. 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. ICML 2019. Generating Diverse Translation by Manipulating Multi-Head Attention. [PDF] [Github] Wayne Wu, Kaidi Cao, Cheng Li, Chen Qian, Chen Change Loy.
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