Zhenxing Mi

I am a Ph.D. candidate in Prof. Dan Xu's Vision Group, at the HKUST.

I received my Bachelor's Degree and Master's Degree in Automation from AIA at HUST in China, advised by Prof. Wenbing Tao. I was an intern at Snap Research in 2024, working with Kuan-Chieh Wang, Guocheng Qian and Kfir Aberman.

I have broad research interests on 3D reconstruction such as scalable NeRF with Mixture of Experts (MoE), Multi-view Stereo and 3D surface reconstruction. I am currently interested in multimodal generation, vision-language models and 3D world models. I mainly research on scalable NeRF, multimodal generation and 3D world models currently.

Email1  /  Email2  /  CV  /  Google Scholar  /  Github

profile photo
News
Research


I Think, Therefore I Diffuse: Enabling Multimodal In-Context Reasoning in Diffusion Models
arXiv, 2025
project page & demo / arXiv / Huggingface paper / 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
Teaching

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