Zhenxing Mi

I am an AI researcher working on video generation. I conducted my Ph.D. research at HKUST, advised by Prof. Dan Xu.

I received my Bachelor's Degree and Master's Degree in Automation from AIA at HUST in China, advised by Prof. Wenbing Tao.

My previous research focused on multimodal understanding and generation, as well as 3D/4D reconstruction and generation.

Email  /  CV  /  Google Scholar  /  Github

profile photo
News
Research
One4D: Unified 4D Generation and Reconstruction via Decoupled LoRA Control
Zhenxing Mi, Yuxin Wang, Dan Xu
ECCV, 2026
project page & demo / arXiv / code
I Think, Therefore I Diffuse: Enabling Multimodal In-Context Reasoning in Diffusion Models
ICML, 2025
project page & demo / arXiv / Huggingface paper / code
Learning Heterogeneous Mixture of Scene Experts for Large-scale Neural Radiance Fields
Zhenxing Mi, Ping Yin, Xue Xiao, Dan Xu
TPAMI, 2025
project page & demo / arXiv / code
LeC2O-NeRF: Learning Continuous and Compact Large-Scale Occupancy for Urban Scenes
Zhenxing Mi, Dan Xu
arXiv, 2024
arXiv
Switch-NeRF: Learning Scene Decomposition with Mixture of Experts for Large-scale Neural Radiance Fields
Zhenxing Mi, Dan Xu
ICLR, 2023
project page & demo / openreview / code
Generalized Binary Search Network for Highly-Efficient Multi-View Stereo
Zhenxing Mi, Di Chang, Dan Xu
CVPR, 2022
project page / arxiv / code
DeepDT: Learning Geometry From Delaunay Triangulation for Surface Reconstruction
Yiming Luo*, Zhenxing Mi*, Wenbing Tao
(*Equal contribution)
AAAI, 2021
pdf
SSRNet: Scalable 3D Surface Reconstruction Network
Zhenxing Mi*, Yiming Luo*, Wenbing Tao
(*Equal contribution)
CVPR, 2020
pdf

SSRNet: Scalable 3D Surface Reconstruction Network
Ganzhangqin Yuan*, Qiancheng Fu*, Zhenxing Mi*, Yiming Luo*, Wenbing Tao
(*Equal contribution)
TVCG, 2022
journal
Experience
Teaching

Source code from Jon Barron, Aljaž Božič, XINTAO and Ekun.