Hang Ye

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I am a third-year Ph.D. student in Computer Science at Center on Frontiers of Computing Studies, Peking University. I am a member of the Computer Vision and Digital Art Lab, advised by Prof. Yizhou Wang. I received my Bachelor's degree in Artificial Intelligence from Peking University in 2023.

My research interests lie in human-centric 3D vision, with a focus on reconstructing, generating, and understanding humans in complex 3D scenarios. My long-term goal is to bridge the gap between 3D vision and embodied intelligence, developing high-fidelity, lifelike 3D humans situated in the physical world, that can actively perceive, reason, and interact within real-world environments.

Preprints

  1. vghuman.png
    Visually-grounded Humanoid Agents
    Hang Ye, Xiaoxuan Ma, Fan Lu, Wayne Wu, Kwan-Yee Lin, and Yizhou Wang
    arXiv 2026
    Paper Video Code Project Page
  2. richcontrol.png
    RichControl: Structure- and Appearance-Rich Training-Free Spatial Control for Text-to-Image Generation
    Liheng Zhang*, Lexi Pang*, Hang Ye, Xiaoxuan Ma, and Yizhou Wang
    arXiv 2025
    Paper Video Code Project Page

Publications

  1. geneman.gif
    GeneMAN: Generalizable Single-Image 3D Human Reconstruction from Multi-Source Human Data
    Wentao Wang*, Hang Ye*, Fangzhou Hong, Xue Yang, Jianfu Zhang, Yizhou Wang, Ziwei Liu, and Liang Pan
    Neural Information Processing Systems (NeurIPS), 2025
    Paper Video Code Project Page
  2. freecloth.gif
    Free-form Generation Enhances Challenging Clothed Human Modeling
    Hang Ye, Xiaoxuan Ma, Hai Ci, Wentao Zhu, and Yizhou Wang
    Conference on Computer Vision and Pattern Recognition (CVPR), 2025  (Highlight)
    Paper Video Code Project Page
  3. social-ch_teaser.gif
    Social Motion Prediction with Cognitive Hierarchies
    Wentao Zhu*, Jason Qin*, Yuke Lou, Hang Ye, Xiaoxuan Ma, Hai Ci, and Yizhou Wang
    Neural Information Processing Systems (NeurIPS), 2023
    Paper Video Code Project Page
  4. dmae.png
    Denoising Masked AutoEncoders are Certifiable Robust Vision Learners
    Quanlin Wu, Hang Ye, Yuntian Gu, Huishuai Zhang, Liwei Wang, and Di He
    International Conference on Learning Representations (ICLR), 2023
    Paper Code
  5. faster-voxelpose.jpeg
    Faster VoxelPose: Real-time 3D Human Pose Estimation by Orthographic Projection
    Hang Ye*, Wentao Zhu*, Chunyu Wang, Rujie Wu, and Yizhou Wang
    European Conference on Computer Vision (ECCV), 2022
    Paper Code

Experience

Shanghai AI Lab
Research Intern, Shanghai Artificial Intelligence Laboratory
Advisor: Wayne Wu, Liang Pan
2023.5 – 2024.9

Services

Reviewer
  • Conference: CVPR, ICCV, NeurIPS, ICLR

Selected Awards

  • Fuguang Scholarship, 2020, 2021, 2022
  • First prize in 12th Chinese Mathematics Competition, 2020
  • Merit Student, 2020, 2021, 2022
  • Second Class Scholarship for Freshmen of Peking University, 2019