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

I'll be applying to Computer Science Ph.D. programs starting from Fall 2026, primarily focusing on computer vision related problems.

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.