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@Ha0Tang
Ha0Tang
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Focusing

Hao Tang Ha0Tang

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To develop a complete mind: Study the science of art; Study the art of science. Learn how to see. Realize that everything connects to everything else.

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Ha0Tang/README.md

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Hao Tang

[Homepage] [Google Scholar] [Twitter]

I am currently a postdoctoral researcher at Computer Vision Lab, ETH Zurich, Switzerland.

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We released the code ofXingVTON andCIT for virtual try-on, the code ofTransDA for source-free domain adaptation using Transformer, the code ofIEPGAN for 3D pose transfer, the code ofTransDepth for monocular depth prediction using Transformer, the codeGLANet for unpaired image-to-image translation, the codeMHFormer for 3D human pose estimation.

🌱My Repositories

3D-Aware Image/Video Generation

3D Human Pose Estimation

Text-to-Image Synthesis

3D Objection Generation

Monocular Depth Prediction

Face Anonymisation

Person Image Generation

Scene Image Generation

Unsupervised Image Translation

Deep Dictionary Learning

Virtual Try-On

Hand Gesture Recognition

Source-Free Domain Adaptation

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  1. XingGANXingGANPublic

    [ECCV 2020] XingGAN for Person Image Generation

    Python 227 36

  2. BiGraphGANBiGraphGANPublic

    [BMVC 2020 Oral] Bipartite Graph Reasoning GANs for Person Image Generation

    Python 130 16

  3. LGGANLGGANPublic

    [CVPR 2020] Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation

    Python 146 13

  4. SelectionGANSelectionGANPublic

    [CVPR 2019 Oral] Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation

    Python 464 60

  5. AttentionGANAttentionGANPublic

    AttentionGAN for Unpaired Image-to-Image Translation & Multi-Domain Image-to-Image Translation

    Python 669 101

  6. GestureGANGestureGANPublic

    [ACM MM 2018 Oral] GestureGAN for Hand Gesture-to-Gesture Translation in the Wild

    Python 174 20


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