Portrait of Xu Han

Xu Han

CS Researcher · Generative World Models

xhanxu [at] hust [dot] edu [dot] cn


Biography

Who Am I?

I am a final-year CS graduate student at Huazhong University of Science and Technology, under the guidance of Prof. Xianzhi Li. I was a research intern at King Abdullah University of Science and Technology (KAUST), working with Prof. Peter Wonka. Prior to this, I received my B.Eng. degree with honors from the School of Computer Science at Shandong University in 2023, during which I worked closely with Prof. Mengbai Xiao.

What do I research?

Currently, I find my passion in the intersection of Computer Vision, Computer Graphics, and Deep Learning. More specifically, my areas of focus include:

Structured World Models Generative Models Representation Learning

Always open to collaborations in the related fields!

Where's my wonderland?

My aspiration is to design principled models to perceive the world and craft stunning visuals, from controllable digital art to cinematic aesthetics that balance imagination with elegance, or sci-fi worlds so vivid they hijack your dreams.


Publications

I'm dedicated to understanding and generating immersive 3D digital worlds!
(*equal contribution, corresponding author)

LumiX teaser
LumiX: Structured and Coherent Text-to-Intrinsic Generation 

Xu Han, Biao Zhang, Xiangjun Tang, Xianzhi Li, Peter Wonka

CVPR 2026

Intro Home PaperBibtex 
PointDreamer teaser
PointDreamer: Zero-Shot 3D Textured Mesh Reconstruction From Colored Point Cloud 

Qiao Yu, Xianzhi Li, Yuan Tang, Xu Han, Long Hu, Yixue Hao, Min Chen

TVCG 2025

Intro Home PaperBibtex 
MoST teaser
MoST: Efficient Monarch Sparse Tuning for 3D Representation Learning 

Xu Han, Yuan Tang, Jinfeng Xu, Xianzhi Li

CVPR 2025

Intro Home PaperBibtex 
Fancy123 teaser
Fancy123: One Image to High-Quality 3D Mesh Generation via Plug-and-Play Deformation 

Qiao Yu, Xianzhi Li, Yuan Tang, Xu Han, Long Hu, Yixue Hao, Min Chen

CVPR 2025

Intro Home PaperBibtex 
SASep teaser
SASep: Saliency-Aware Structured Separation of Geometry and Feature for Open Set Learning on Point Clouds 

Jinfeng Xu, Xianzhi Li, Yuan Tang, Xu Han, Qiao Yu, Yixue Hao, Long Hu, Min Chen

CVPR 2025

Intro Home PaperBibtex 
GreenPLM teaser
More Text, Less Point: Towards 3D Data-Efficient Point-Language Understanding 

Yuan Tang*, Xu Han*, Xianzhi Li, Qiao Yu, Jinfeng Xu, Yixue Hao, Long Hu, Min Chen

AAAI 2025

Intro Home PaperBibtex 
Mamba3D teaser
Mamba3D: Enhancing Local Features for 3D Point Cloud Analysis via State Space Model 

Xu Han*, Yuan Tang*, Zhaoxuan Wang, Xianzhi Li

ACM MM 2024

Intro Home PaperBibtex 
MiniGPT-3D teaser
MiniGPT-3D: Efficiently Aligning 3D Point Clouds with Large Language Models using 2D Priors 

Yuan Tang, Xu Han, Xianzhi Li, Qiao Yu, Yixue Hao, Long Hu, Min Chen

ACM MM 2024

Intro Home PaperBibtex 
patchDPCC teaser
patchDPCC: A Patchwise Deep Compression Framework for Dynamic Point Clouds 

Zirui Pan, Mengbai Xiao, Xu Han, Dongxiao Yu, Guanghui Zhang, Yao Liu

AAAI 2024

Intro Home PaperBibtex 

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