Biography
I am a Ph.D. student at The University of Hong Kong, supervised by Prof. Xihui Liu.
Before that, I got my bachelor's degree in the CS Department at Harbin Institute of Technology in 2023, supervised by Prof. Wangmeng Zuo.
My research interests include but not limited to: 1. 3D Generation; 2. 3D Representation and Perception; 3. Combination of 3D Generation and Robotics. Please feel free to reach out to me via email for discussion or any opportunities. :)
News
- [2025.02] One paper is accepted by CVPR 2025.
- [2024.02] One paper is accepted by CVPR 2024.
- [2023.12] We release DreamComposer, a flexible and scalable framework that can enhance existing view-aware diffusion models by injecting multi-view conditions.
- [2023.07] One paper is accepted by ICCV 2023.
Publications

HoloPart: Generative 3D Part Amodal Segmentation
Yunhan Yang, Yuan-Chen Guo, Yukun Huang, Zi-Xin Zou, Zhipeng Yu, Yangguang Li, Yan-Pei Cao, Xihui Liu
Arxiv, 2025
[Paper][Code][Project] [Interactive Demo]



MIDI: Multi-Instance Diffusion for Single Image to 3D Scene Generation
Zehuan Huang, Yuan-Chen Guo, Xingqiao An, Yunhan Yang, Yangguang Li, Zi-Xin Zou, Ding Liang, Xihui Liu, Yan-Pei Cao, Lu Sheng
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025
[Paper][Code][Project] [Interactive Demo]


Experiences
- Ph.D. Student,
The University of Hong Kong
2023 - Present - Research Intern,
VAST-AI,
supervised by Yan-Pei Cao and Yuan-Chen Guo
2024 - Present - Research Intern,
Shanghai AI Laboratory,
supervised by Prof. Hengshuang Zhao and Tong He
2022 - 2023 - Exchange Student,
KTH Royal Institute of Technology
2022 - 2023 - Bachelor Degree in Computer Science,
Harbin Institute of Technology
2019 - 2023
Awards
- Outstanding Graduate of Heilongjiang Province, China, 2023
- Outstanding Graduate of Harbin Institute of Technology, 2023
- Shenzhen Stock Exchange Scholarship, 2021
- National Scholarship, China, 2020
Professional Services
- Conference reviewer: CVPR, ICCV, NeurIPS, ICLR, ICML
- Teaching assistant: ELEC4542 Introduction to deep learning for computer vision, HKU