Bio

I am a Ph.D. student at ShanghaiTech University, jointly supervised by Prof. Shenghua Gao (The University of Hong Kong) and Prof. Lan Xu (ShanghaiTech University).

My research interests lie at the intersection of computer graphics and vision, with a focus on 3D representation learning and generative models. Recently, I have been exploring 3D scene-level generative models that can benefit spatial intelligence and embodied AI. I am passionate about new ideas and collaborations.

* denotes equal contribution

X-Part: high fidelity and structure coherent shape decomposition

Arxiv

Xinhao Yan*, Jiachen Xu*, Yang Li, Changfeng Ma, Yunhan Yang, Chunshi Wang, Zibo Zhao, Zeqiang Lai, Yunfei Zhao, Zhuo Chen, Chunchao Guo

[Project page] [Paper]

P3-SAM: Native 3D Part Segmentation

Arxiv

Changfeng Ma, Yang Li, Xinhao Yan, Jiachen Xu, Yunhan Yang, Chunshi Wang, Zibo Zhao, Zeqiang Lai, Yunfei Zhao, Zhuo Chen, Chunchao Guo

[Project page] [Paper]

CAST: Component-Aligned 3D Scene Reconstruction from an RGB Image

SIGGRAPH 2025 — Best Paper Award

Kaixin Yao*, Longwen Zhang*, Xinhao Yan, Yan Zeng, Qixuan Zhang, Wei Yang, Lan Xu, Jiayuan Gu, Jingyi Yu

[Project page] [Paper] [Code]

PREF: Phasorial Embedding Fields for Compact Neural Representation

Arxiv

Binbin Huang, Xinhao Yan, Anpei Chen, Shenghua Gao, Jingyi Yu

[Paper] [Code]

Dual-Space NeRF: Learning Animatable Avatars and Scene Lighting in Separate Spaces

3DV 2022

Yihao Zhi*, Shenhan Qian*, Xinhao Yan*, Shenghua Gao

[Paper] [Code]