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
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Research Projects
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Spacetime Gaussian Feature Splatting for Real-Time Dynamic View Synthesis
Zhan Li,
Zhang Chen†, Zhong Li†, Yi Xu
CVPR 2024
arxiv paper
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code
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video
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Project website
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Future Frame Synthesis for Fast Monte Carlo Rendering
Zhan Li,
Carl S Marshall, Deepak S Vembar, Feng Liu
Graphics Interface,2022
paper
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code
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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.
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Fast Monte Carlo Rendering via Multi-Resolution Sampling
Qiqi Hou*, Zhan Li*, Carl S Marshall, Selvakumar Panneer,
Feng Liu
Graphics Interface, 2021
paper
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code
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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.
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Work Experience
- Jun'23-Dec'23
- Research Intern at OPPO US Research, mentored by Zhang Chen, Zhong Li.
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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
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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
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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
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† means corresponding authors, * means equal contribution. Design and source code from Jon Barron's website.
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