I am a researcher working in 3D vision, computer graphics, and, in particular, digital humans. Previously I was a Research Fellow at NTU, working with Prof. Ziwei Liu, at S-Lab and MMLab@NTU. I completed my Ph.D. in Computer Science at the University of Maryland, College Park advised by Prof. Matthias Zwicker. During my PhD, I had the pleasure to visit the Max Planck Institute in Saarbrücken, Germany under the guidance of Prof. Christian Theobalt in 2020, and 3DV Lab at Tsinghua University, China under the guidance of Prof. Yebin Liu in 2021.
My research focuses on computer vision and graphics, especially 3D reconstruction, neural rendering, 3D human motion capture, animation, and avatar creation.
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College of Computing and Data Science, Nanyang Technological University, Singapore
Research Fellow, Jun. 2023 ~ present
Advisor: Prof. Ziwei Liu
Affiliated: S-Lab and MMLab@NTU (Director Prof. Chen Change Loy).
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Department of Computer Science, University of Maryland, College Park, USA
Ph.D., Aug. 2018 ~ Jun. 2023
Supervisor: Prof. Matthias Zwicker
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3DV Lab, Tsinghua University, Beijing, China
Research Intern, Apr. 2021 ~ Nov. 2021
Supervisor: Prof. Yebin Liu
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Graphics, Vision & Video Group, Max Planck Institute for Informatics, Saarbrücken, Germany
Research Intern, Mar. 2020 ~ Sep. 2020
Supervisor: Prof. Christian Theobalt
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Shanghai AI Lab, Shanghai, China
Research Intern, Apr. 2023 ~ Jun. 2023
Supervisor: Prof. Ziwei Liu
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Intelligent Creation Lab, ByteDance Inc USA, Remote
Research Intern, Dec. 2021 ~ Jul. 2022
Supervisor: Dr. Hongyi Xu, Dr. Linjie Luo
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Speech Group, Microsoft Research Asia (MSRA), Beijing, China
Research Intern, Jun. 2017 - Nov. 2017
Supervisor: Dr. Kai Chen
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HumanLiff: Layer-wise 3D Human Generation with Diffusion Model.
Shoukang Hu, Fangzhou Hong, Tao Hu , Liang Pan, Weiye Xiao, Haiyi Mei, Lei Yang, Ziwei Liu
International Journal of Computer Vision (IJCV), 2025
[Paper]
[Project Page]
[Code]
→ A diffusion-based approach for layer-wise 3D human generation.
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FashionEngine: Interactive 3D Human Generation and Editing via Multimodal Controls.
Tao Hu, Fangzhou Hong, Zhaoxi Chen, Ziwei Liu.
arXiv:2404.01655, 2024
[Project Page] [Video] [arXiv]
→ The first work that constructs an interactive 3D human generation and editing system with multimodal controls (e.g., texts, images, hand-drawing sketches) in a unified framework.
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StructLDM: Structured Latent Diffusion for 3D Human Generation.
Tao Hu, Fangzhou Hong, Ziwei Liu.
European Conference on Computer Vision (ECCV 2024)
[Project Page] [Video]
[Code] [arXiv] [Media Coverage]
[Media Coverage in Chinese: 1, 2]
→ A new paradigm for 3D human generation from 2D image collections, with 3 key designs: a structured 2D latent space, a structured auto-decoder, and a structured latent diffusion model.
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SurMo: Surface-based 4D Motion Modeling for Dynamic Human Rendering.
Tao Hu, Fangzhou Hong, Ziwei Liu.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2024)
[Paper]
[Project Page]
[Video]
[Code]
[Media Coverage in Chinese: Media Heart, SenseTime Research ]
→ A new paradigm for learning dynamic human rendering from videos by jointly modeling the temporal motion dynamics and human appearances in a unified framework based on a novel surface-based triplane.
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HVTR++: Image and Pose Driven Human Avatars using Hybrid Volumetric-Textural Rendering.
Tao Hu, Hongyi Xu, Linjie Luo, Tao Yu, Zerong Zheng, He Zhang, Yebin Liu, Matthias Zwicker.
IEEE Transactions on Visualization and Computer Graphics (TVCG 2023)
[Paper]
[Project Page]
[Video]
[Code]
→ A virtual teleportation system using sparse view cameras based on a novel texel-aligned multimodal representation.
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HVTR: Hybrid Volumetric-Textural Rendering for Human Avatars.
Tao Hu, Tao Yu, Zerong Zheng, He Zhang, Yebin Liu, Matthias Zwicker.
International Conference on 3D Vision (3DV 2022)
[Paper]
[Project Page] [Video] [Poster] [arXiv]
[Code]
→ The first work that combines classical volumetric rendering with probabilistic generative models for efficient and realistic dynamic human rendering.
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EgoRenderer: Rendering Human Avatars from Egocentric Camera Images.
Tao Hu, Kripasindhu Sarkar, Lingjie Liu, Matthias Zwicker, Christian Theobalt.
IEEE International Conference on Computer Vision (ICCV 2021)
[Paper] [Project Page] [Video] [Poster] [arXiv] [Media Coverage: SCIENCE & TECHNOLOGY NEWS]
→ A mobile virtual teleportation system integrating mobile motion capture and free-view rendering in a egocentric setup.
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Learning to Generate Dense Point Clouds with Textures on Multiple Categories.
Tao Hu, Geng Lin, Zhizhong Han, Matthias Zwicker.
IEEE Winter Conference on Applications of Computer Vision (WACV 2021)
[Paper] [Code] [arXiv]
→ Extend the multi-view representation for generalizable geometry/texture reconstructions from single RGB images.
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3D Shape Completion with Multi-view Consistent Inference.
Tao Hu, Zhizhong Han, Matthias Zwicker.
AAAI Conference on Artificial Intelligence (AAAI 2020, Oral, top 10% among accepted papers in 3D vision track)
[Paper] [Code] [arXiv]
→ Introduce a self-supervised multi-view consistent inference technique to enforce geometric consistency for multi-view representation.
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Render4Completion: Synthesizing Multi-view Depth Maps for 3D Shape Completion.
Tao Hu, Zhizhong Han, Abhinav Shrivastava, Matthias Zwicker.
IEEE ICCV Geometry Meets Deep Learning Workshop (ICCVW 2019, Oral)
[Paper] [Code] [arXiv]
→ Present multi-view based 3D shape representation with a multi-view completion net for dense 3D shape completion.
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A Parallel Video Player Plugin for CryEngine.
Tao Hu, Gangyi Ding, Lijie Li, Longfei Zhang.
Highlights of Sciencepaper, Chinese Journal, May 2016.
→Propose a parallel video player plugin for CryEngine3 for a speedup from 16 FPS to 54 FPS at a large-scale virtual stage with 40 LED screens playing videos simultaneously for digital performance.
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Teaching Assistant, Dept. of Computer Science, UMD.
