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.

My research interests focus on the scalable NeRF, Multi-view Stereo, 3D surface reconstruction and Mixture of Experts (MoE). I am also interested in Text-to-3D generation, the foundation models of Vision-Language, and scalable methods by MoE. I mainly research on scalable NeRF by MoE currently.

Email1 / Email2 / CV / Google Scholar / Github

News

Jan. 21, 2023: One paper accepted by ICLR2023. Thanks for Prof. Dan Xu for his great help.

Aug. 13, 2022: Extension of SSRNet in CVPR2020 is accepted by TVCG.

Mar. 3, 2022: One paper is accepted by CVPR2022.

Mar. 3, 2022: New website launches.

Research

	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

Teaching Assistant, Introduction to Computer Science - Fall 2022/23

Teaching Assistant, Parallel Programming - Spring 2021/22

Teaching Assistant, Discrete Mathematical Tools for Computer Science - Fall 2021/22

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