ha0tang/google-research

Google Research

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Hao Tang

[Homepage] [Google Scholar] [Twitter]

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

⚡ News

We released the code of XingVTON and CIT for virtual try-on, the code of TransDA for source-free domain adaptation using Transformer, the code of IEPGAN for 3D pose transfer, the code of TransDepth for monocular depth prediction using Transformer, the code GLANet for unpaired image-to-image translation, the code MHFormer for 3D human pose estimation.

🌱 My Repositories

3D-Aware Image/Video Generation

• 3D-SGAN (ECCV 2022)

3D Human Pose Estimation

• MHFormer (CVPR 2022)

Text-to-Image Synthesis

• DF-GAN (CVPR 2022 Oral)
• PPE (CVPR 2022)

3D Objection Generation

• CGT (AAAI 2022)
• IEPGAN (ICCV 2021)
• AniFormer (BMVC 2021)

Monocular Depth Prediction

• TransDepth (ICCV 2021)
• StructuredAttention (CVPR 2018 Spotlight)

Face Anonymisation

• AnonyGAN (ICIAP 2021)

Person Image Generation

• XingGAN (ECCV 2020)
• BiGraphGAN (BMVC 2020 Oral)
• C2GAN (ACM MM 2019 Oral)
• GestureGAN (ACM MM 2018 Oral & Best Paper Candidate)

Scene Image Generation

• LGGAN (CVPR 2020)
• DAGAN (ACM MM 2020)
• DPGAN (TIP 2021)
• SelectionGAN (CVPR 2019 Oral)
• CrossMLP (BMVC 2021 Oral)
• EdgeGAN
• PanoGAN (TMM 2022)

Unsupervised Image Translation

• GLANet
• AttentionGAN (IJCNN 2019 Oral）
• GazeAnimation (ACM MM 2020)
• AsymmetricGAN (ACCV 2018 Oral)

Deep Dictionary Learning

• DDLCN (WACV 2019 Oral)

Virtual Try-On

• HCANet
• CIT

Hand Gesture Recognition

• HandGestureRecognition (Neurocomputing 2019)

Source-Free Domain Adaptation

• TransDA