Real-time Level-of-detail Strand-based Rendering
An appearance-preserving method for Real-time Strand-based Rendering.
Professional Summary
Tao Huang is currently working at Tencent as an engineer. He earned his master’s degree in Computer Science from UCSB, where he was supervised by Prof. Lingqi Yan. Prior to that, he received his bachelor’s degree in Computer Science (2022) from Nanjing University. From 2020 to 2022, he was a member of the State Key Lab for Novel Software Technology at Nanjing University, where he published his first paper as first author, which was presented at Pacific Graphics 2022. His main research interests are real-time rendering and reconstruction theory. He is a two-time recipient of Nanjing University’s People’s Scholarship.
Education
MS Computer Science
University of California, Santa Barbara
BS Computer Science
NanJing University
Interests
Real-time Rendering
Level-of-Details
📚 My Research
My research primarily lies in the field of real-time rendering. I have some hands-on experience and deep interest in several key areas, including real-time denoising, hair/cloth rendering, and scene compression/LOD.
Furthermore, I maintain a broad passion for exploring various topics and cutting-edge challenges across the entire field of real-time rendering.
Featured Publications
Appearance-Preserving Scene Aggregation for Level-of-Detail Rendering
An efficient Way to suppress super giant scene
Yang Zhou
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1 min readRecent Publications
(2025).
Detail-Preserving Real-Time Hair Strand Linking and Filtering.
Computer Graphics Forum.
(2025).
Real-time Level-of-detail Strand-based Rendering.
Computer Graphics Forum 44-Issue 4.
(2025).
Real-Time Knit Deformation and Rendering.
ACM Trans. Graph..
(2025).
Appearance-Preserving Scene Aggregation for Level-of-Detail Rendering.
ACM Trans. Graph..
(2022).
Real-time Deep Radiance Reconstruction from Imperfect Caches.
Computer Graphics Forum.