Zhan Li

I am a 5th-year CS Ph.D. student in the Computer Graphics and Vision Lab at Portland State University. I'm advised by Dr. Feng Liu. Before that, I recieved my Bachelor degree from Nanjing University. My research interest is data-driven novel view synthesis for immersive rendering, like path tracing rendering, volumetric rendering. I am also interested in efficient video transformers.

Email  /  Google Scholar  /  Github  /  Linkedin

profile photo
Research Projects
Spacetime Gaussian Feature Splatting for Real-Time Dynamic View Synthesis
Zhan Li, Zhang Chen, Zhong Li, Yi Xu
CVPR 2024
arxiv paper  /  code  /  video  /  Project website
Future Frame Synthesis for Fast Monte Carlo Rendering
Zhan Li, Carl S Marshall, Deepak S Vembar, Feng Liu
Graphics Interface,2022
paper  /  code  /  video

We apply next frame estimation for fast monte carlo rendering and estimate error mask to sample the rest pixels with the renderer.

We introduce two large-scale animated Ray Tracing datasets with over 60K mega-pixel frames with ground truth optical flows and other G-Buffers produced from UE4 and Blender Cycles.

Fast Monte Carlo Rendering via Multi-Resolution Sampling
Qiqi Hou*, Zhan Li*, Carl S Marshall, Selvakumar Panneer, Feng Liu
Graphics Interface, 2021
paper  /  code  /  video  

We accelerate Monte-Carlo rendering via super-resoultion guided by high-resolution fast-to-compute auxiliary features.

We build large scale Ray Tracing Image datasets from more than 1000 scenes with ground truth buffers at different scales.

Work Experience
Jun'23-Dec'23
Research Intern at OPPO US Research, mentored by Zhang Chen, Zhong Li.

Teaching
Graduate Teaching Assistant
CS 447/547 Computer Graphics
CS 410/510 Intro to Visual Computation
CS 410/510 Computational Photography
Lecturer
CS 410/510 Intro to Visual Computation

Education
Ph.D student in Computer Science, Portland State University, 2019-now
Master in Computer Science, Portland State University, 2017-2019
Bachelor in Geochemistry, Nanjing University, 2011-2015

Award
El-Mansy Family Fellowship
from Maseeh College of Engineering and Computer Science for the 2022 to 2023 Academic year
Richard Kieburtz Memorial Graduate Fellowship
from Maseeh College of Engineering and Computer Science for the 2022 to 2023 Academic year


means corresponding authors, * means equal contribution. Design and source code from Jon Barron's website.