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  • 👯 We are looking self-motivated researcher to join/visit our Group.

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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 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 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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