Shuichang Lai — accepted AI-conference papers

2026

LoG3D: Ultra-High-Resolution 3D Shape Modeling via Local-to-Global Partitioning

Xinran Yang, Shuichang Lai, Jiangjing Lyu, Hongjie Li, Bowen Pan, Yuanqi Li +3

CVPR 2026

Generating high-fidelity 3D contents remains a fundamental challenge due to the complexity of representing arbitrary topologies--such as open surfaces and intricate internal structures--while preserving geometric details. Prevailing methods based on signed distance fields (SDFs) are hampered by cost

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2024

Practical Measurements of Translucent Materials with Inter-Pixel Translucency Prior

Zhenyu Chen, Jie Guo, Shuichang Lai, Ruoyu Fu, Mengxun Kong, Chen Wang +4

CVPR 2024poster

Material appearance is a key component of photorealism with a pronounced impact on human perception. Although there are many prior works targeting at measuring opaque materials using light-weight setups (e.g. consumer-level cameras) little attention is paid on acquiring the optical properties of tra…

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