I am Yuzhe Luo (罗昱哲), a fourth-year CS Ph.D. student at the State Key Laboratory of CAD&CG, Zhejiang University, advised by Prof. Xiaogang Jin. I obtained my Bachelor's degree in Digital Media Technology from Zhejiang University in 2022.
From Feb. 2023 to May 2026, I worked as a research intern at Lightspeed Studio collaborating with Xifeng Gao, Zherong Pan, and Kui Wu, focusing on 3D asset processing and generation research. Since May 2026, I have joined the team led by Zeyu Hu, working on game world model research.
Research Interest: Gaming-oriented 3D assets processing and generation algorithms.
Job Hunting: I am looking for full-time opportunities in 2027. If you are interested, please feel free to contact me!
Education
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Zhejiang University
State Key Lab of CAD&CG
Ph.D. StudentSep. 2022 - Present -
Zhejiang University
B.S. in Digital Media TechnologySep. 2018 - Jun. 2022
Experience
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Lightspeed Studio
Research Intern2023 - Present
2026
Global Discrete Optimization for Quad-Dominant Mesh Reduction
Yuzhe Luo*; Jingchen Gao*; Zherong Pan; Kui Wu; Xuebo Ji; Xiaogang Jin; Xifeng Gao. (* equal contribution )
ACM SIGGRAPH (Conference Track) 2026
A global discrete optimization approach for quad-dominant mesh reduction.
Robust and Feature-Preserving Offset Meshing
Hongyi Cao; Gang Xu; Renshu Gu; Jinlan Xu; Xiaoyu Zhang; Timon Rabczuk; Yuzhe Luo; Xifeng Gao.
ACM Transactions on Graphics (To Present at SIGGRAPH) 2026
A robust and feature-preserving offset meshing approach.
Lightmap Compression with Color-Coherent UV Clustering and Cascade Texture Optimization
Dehan Chen; Hongyu Huang; Yuzhe Luo; Hao Xu; Yuqing Zhang; Sipeng Yang; Xifeng Gao; Heng Cai; Chao Li; Xiaogang Jin.
Computer Graphics Forum (Special Issue of Eurographics) 2026
A lightmap compression scheme based on color-coherent UV clustering and cascade texture optimization.
2025
RL-ACD: Reinforcement Learning-based Approximate Convex Decomposition
Yuzhe Luo; Zherong Pan; Kui Wu; Xingyi Du; Yun Zeng; Xiangjun Tang; Yiqian Wu; Xiaogang Jin; Xifeng Gao.
ACM Transactions on Graphics (Proceedings of SIGGRAPH Asia) 2025
A data-driven, reinforcement learning-based approach for efficient and near-optimal convex shape decomposition.
2023
Texture Atlas Compression Based on Repeated Content Removal
Yuzhe Luo; Xiaogang Jin; Zherong Pan; Kui Wu; Qilong Kou; Xiajun Yang; Xifeng Gao.
ACM SIGGRAPH Asia (Conference Track) 2023
A novel texture atlas compression scheme based on repeated content removal.
MNSS: Neural Supersampling Framework for Real-Time Rendering on Mobile Devices
Sipeng Yang; Yunlu Zhao; Yuzhe Luo; He Wang; Hongyu Sun; Chen Li; Binghuang Cai; Xiaogang Jin.
IEEE Transactions on Visualization and Computer Graphics 2023
A neural supersampling framework tailored for real-time rendering on mobile devices.
2022
GlyphCreator: Towards Example-based Automatic Generation of Circular Glyphs
Lu Ying; Tan Tang; Yuzhe Luo; Lvkeshen Shen; Xiao Xie; Lingyun Yu; Yingcai Wu.
IEEE Transactions on Visualization and Computer Graphics 2022
An example-based automatic generation framework for circular glyphs.