Hong Li / 李宏

link0502@buaa.edu.cn  ·  link05021124@gmail.com

Biography

I am a Ph.D. candidate at the School of Automation Science and Electrical Engineering, Beihang University (BUAA), advised by Prof. Baochang Zhang. My research interests include 3D generation, neural rendering, and video generation. I received my M.S. degree in Mechanical Engineering from Beihang University in 2021, where I was advised by Prof. Liang Wang and worked on mechanical design and embedded systems.

Introduction

My primary research interests span 3D generation, neural rendering, and video generation. My work focuses on advancing generative models for modeling, rendering, and synthesizing dynamic 3D scenes and interactive content, with the goal of driving real-world applications in world model construction and game content generation.

Seeking full-time positions/postdoc starting in 2026/2027.

Hong Li
Ph.D. Candidate @ BUAA

Education

Ph.D. Candidate — Control Science and Engineering
Beihang University (BUAA), Beijing
2021 – Present
M.S. in Mechanical Engineering
Beihang University (BUAA), Beijing
2018 – 2021

Research Interests

Face Animation & Digital Humans 3D Reconstruction & Generation Neural Rendering Image Generation Video Generation Self-Supervised Learning

News

  • April 20262 papers (Relit-LiVE, UniVidX) accepted to TOG 2026!
  • Feb 20262 papers (NeAR, PartDiffuser) accepted to CVPR 2026!
  • Jan 20261 paper (LINO) accepted to ICLR 2026.
  • Jan 20261 paper (DKT) accepted to ICRA 2026.
  • Dec 2025Joined Meshy as a Generative AI Researcher (Rising Intern).
  • Feb 20251 paper (AnimateAnything) accepted to CVPR 2025.
  • Jan 2025Joined BAAI (Controllable World Model Center) as an algorithm intern.
  • Feb 20241 paper (UV-IDM) accepted to CVPR 2024.
  • Feb 2024Joined Shengshu Technology as an algorithm engineer.
  • Jul 2023Started internship at Baidu Visual Technology Department.
Show more

Selected Publications

NeAR
NeAR: Coupled Neural Asset-Renderer Stack. arxiv project

Hong Li*, Chongjie Ye*, Houyuan Chen, Weiqing Xiao, Ziyang Yan, Lixing Xiao, Zhaoxi Chen, Jianfeng Xiang, Shaocong Xu, Xuhui Liu, Yikai Wang, Baochang Zhang, Xiaoguang Han, Jiaolong Yang, Hao Zhao.

CVPR 2026

PartDiffuser
PartDiffuser: Part-wise 3D Mesh Generation via Discrete Diffusion. arxiv

Yichen Yang*, Hong Li*, Haodong Zhu, Linin Yang, Guojun Lei, Sheng Xu, Baochang Zhang.

CVPR 2026

LINO
Light of Normals: Unified Feature Representation for Universal Photometric Stereo. arxiv code project

Hong Li*, Houyuan Chen*, Chongjie Ye, Zhaoxi Chen, Bohan Li, Shaocong Xu, Xianda Guo, Xuhui Liu, Yikai Wang, Baochang Zhang, Satoshi Ikehata, Boxin Shi, Anyi Rao, Hao Zhao.

ICLR 2026 GitHub stars

DKT
Diffusion Knows Transparency: Repurposing Video Diffusion for Transparent Object Depth and Normal Estimation. arxiv code project

Shaocong Xu, Songlin Wei, Qizhe Wei, Zheng Geng, Hong Li, Licheng Shen, Qianpu Sun, Shu Han, Bin Ma, Bohan Li, Chongjie Ye, Yuhang Zheng, Nan Wang, Saining Zhang, Hao Zhao.

ICRA 2026 GitHub stars

AnimateAnything
AnimateAnything: Consistent and Controllable Animation for Video Generation. arxiv code project

Guojun Lei*, Chi Wang*, Hong Li*, Yikai Wang, Rong Zhang, Weiwei Xu.

CVPR 2025 GitHub stars

UniTransfer
UniTransfer: Video Concept Transfer via Progressive Spatial and Timestep Decomposition. arxiv code project

Guojun Lei, Rong Zhang, Chi Wang, Tianhang Liu, Hong Li, Zhiyuan Ma, Weiwei Xu.

NeurIPS 2025 GitHub stars

D3T
D3T: Dual-Domain Diffusion Transformer in Triplanar Latent Space for 3D Incomplete-View CT Reconstruction. paper

Xuhui Liu, Hong Li, Zhi Qiao, Yawen Huang, Xi Liu, Juan Zhang, Zhen Qian, Xiantong Zhen, Baochang Zhang.

IJCV 2025

UV-IDM
UV-IDM: Identity-Conditioned Latent Diffusion Model for Face UV-Texture Generation. paper code

Hong Li*, Yutang Feng*, Song Xue, Xuhui Liu, Bohan Zeng, Shanglin Li, Boyu Liu, Jianzhuang Liu, Shumin Han, Baochang Zhang.

CVPR 2024 GitHub stars

BICS
Bandit Interpretability of Deep Models via Confidence Selection. paper

Xiaoyue Duan*, Hong Li*, Panpan Wang, Tiancheng Wang, Boyu Liu, Baochang Zhang.

Neurocomputing 2023

FNeVR
FNeVR: Neural Volume Rendering for Face Animation. paper code

Bohan Zeng, Boyu Liu, Hong Li, Xuhui Liu, Jianzhuang Liu, Dapeng Chen, Wei Peng, Baochang Zhang.

NeurIPS 2022 GitHub stars

Full list on Google Scholar →

Preprints

MMFA
Motion Manipulation via Unsupervised Keypoint Positioning in Face Animation. arxiv

Hong Li, Boyu Liu, Xuhui Liu, Baochang Zhang.

Preprint 2026

PromptAvatar
Dual Diffusion Models for Multi-modal Guided 3D Avatar Generation. arxiv

Hong Li, Yutang Feng, Minqi Meng, Yichen Yang, Xuhui Liu, Baochang Zhang.

Preprint 2026

Intern Experience

  • Dec 2025 – Present
    Meshy – Generative AI Researcher (Rising Intern)

    3D texture generation algorithms

  • Jan 2025 – Dec 2025
    Beijing Academy of Artificial Intelligence (BAAI) – Controllable World Model Center, Algorithm Intern

    3D reconstruction & neural rendering
    Mentor: Hao Zhao

  • Feb 2024 – Jan 2025
    Shengshu Technology – Research Department, Algorithm Engineer

    3D generation & video generation research
    Mentor: Yikai Wang, Yiqi Jiang

  • Jul 2023 – Jan 2024
    Baidu – Visual Technology Department, Algorithm Intern

    3D face reconstruction

  • Dec 2021 – May 2023
    Momo (Zhiwen Technology) – Deep Learning Center, Intern

    Face animation
    Mentor: Tianxiang Zheng

Academic Services

Reviewer:
CVPR NeurIPS ICLR ECCV WACV ICME