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CHENYUE CAI

[Chen-u-ei Ts’ai]


is a fourth-year Computer Science
Ph.D. student, advised by Szymon Rusinkiewicz
at Princeton University. 



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cc4880 at princeton dot edu

Research Areas: Computer Graphics, 3D Computer Vision, Shape Optimization

Research Interest: empowering 3D artist with controllable, high-fidelity tools with machine learning 

1. GLOSS: Geometric Local Self-Similarity Learning for Faithful Reference-Guided Texture Fill Chenyue Cai*, Anita Hu, James Lucas, Szymon Rusinkiewciz, Masha Shugrina
SIGGRAPH ASIA 2026 (Conditionally Accepted) [website]

2. UniMate: One Unified Model to Animate Diverse Skeletons
Linzhan Mou, Jiahui Lei, Zhiyang Dou, Chenyue Cai*, Chaoyue Song, Adam Finkelstein, Szymon Rusinkiewicz
SIGGRAPH ASIA 2026 (Conditionally Accepted) [website]

3. Self-Supervised Implicit Attention Priors for Point Cloud Reconstruction
Kyle Fogarty, Chenyue Cai*, Jing Yang, Zhilin Guo, Cengiz Oztireli
3DV 2026 [paper]

4. Gradient-Based Dovetail Joint Shape Optimization for Stiffness
Xingyuan Sun, Chenyue Cai*, Ryan P Adams, Szymon Rusinkiewicz
SCF 2023 [paper]

Industry Experience:
Nvidia Research (2024, 25), Meshy (2026)

Academic Experience:
Princeton University (2022 - Now), UC Berkeley (2018 - 2022)