Runfeng Li

Hi, I'm a Research Assistant at the Brown Visual Computing Group at Brown University, advised by Prof. James Tompkin.

I received my M.S. in Computer Science from Brown University. I completed my B.S. in Mathematics & Computer Science from UIUC, where I was advised by Prof. Liangyan Gui.

Email: runfeng_li [at] brown [dot] edu

Github  /  Scholar  /  CV

Research

I'm interested in computer vision, computer graphics, and machine learning.

Time of the Flight of the Gaussians: Optimizing Depth Indirectly in Dynamic Radiance Fields
Runfeng Li, Mikhail Okunev, Zixuan Guo, Anh Ha Duong, Christian Richardt, Matthew O'Toole, James Tompkin
CVPR, 2025 (Oral Presentation)
project page / paper / code / video (coming soon)

A physically based method for reconstructing dynamic scenes in multi-exposure C-ToF imaging. Depth optimization via C-ToF radiance field is still ill-posed, we find empirical biases that help Gaussian depth converge to depth derived from reconstructed raw C-ToF frames.

Monocular Dynamic Gaussian Splatting: Fast, Brittle, and Scene Complexity Rules
Yiqing Liang, Mikhail Okunev, Mikaela Angelina Uy, Runfeng Li, Leonidas J. Guibas, James Tompkin, Adam Harley
TMLR, 2025
project page / paper / code

Dynamic Gaussian splatting benchmark using multiple existing datasets and a new instructive synthetic dataset for standardized comparisons.


Reference: Jon Barron's Template.