Xianfeng Wu
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Xianfeng Wu

Incoming Ph.D. Student, UNC Chapel Hill
I am an incoming Ph.D. student in the Department of Computer Science at UNC Chapel Hill, where I will be fortunate to work with Prof. Tianlong Chen. Before joining UNC, I was briefly enrolled as a Ph.D. student at HKUST, advised by Harry Yang.

My research interests broadly lie in Multimodal Generative Models, 3D Vision, and AI for Science.
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Updates

News

A few recent updates and selected milestones.
Research

Selected Publications

Representative work across multimodal generative models and 3D vision.
* indicates equal contribution.
Relighting teaser

Learning Latent Proxies for Controllable Single-Image Relighting

Haoze Zheng*, Zihao Wang*, Xianfeng Wu*, Yajing Bai, Yexin Liu, Yun Li, Xiaogang Xu, Harry Yang
CVPR 2026
Paper
4DLangVGGT teaser

4DLangVGGT: 4D Language Visual Geometry Grounded Transformer

Xianfeng Wu*, Yajing Bai*, Minghan Li, Xianzu Wu, Xueqi Zhao, Zhongyuan Lai, Wenyu Liu, Xinggang Wang
arXiv
Paper Code Project
LightGen teaser

LightGen: An Efficient Text2Img Generation Pretrain Pipeline based on MAR

Xianfeng Wu*, Yajing Bai*, Haoze Zheng*, Harold Haodong Chen*, Yexin Liu*, et al.
arXiv
Paper Code
ProfilingDiT teaser

Model Reveals What to Cache: Profiling-Based Feature Reuse for Video Diffusion Models

Xuran Ma, Yexin Liu, Yaofu Liu, Xianfeng Wu, et al.
ICCV 2025
Code
MMVU teaser

Unveiling the Ignorance of MLLMs: Seeing Clearly, Answering Incorrectly

Yexin Liu*, Zhengyang Lian*, Yueze Wang*, Xianfeng Wu*, et al.
CVPR 2025
Code
FSC teaser

FSC: Few-point Shape Completion

Xianzu Wu*, Xianfeng Wu*, Tianyu Luan, Yajing Bai, Zhongyuan Lai, Junsong Yuan
CVPR 2024
Code
For a full publication list, please see my Google Scholar profile.
Background

Experience

Selected research experiences that shaped my current interests.
  • Aug 2025 – Present
    Remote Research Intern
    Department of Computer Science, UNC Chapel Hill
    Advisor: Assistant Prof. Tianlong Chen
  • Jun 2025 – Sep 2025
    Research Intern
    School of EIC, Huazhong University of Science and Technology
    Advisors: Prof. Xinggang Wang and Prof. Wenyu Liu
  • Jan 2023 – Jun 2024
    Remote Research Intern
    Department of Computer Science and Engineering, University at Buffalo
    Advisors: Prof. Junsong Yuan and Dr. Tianyu Luan