Cheng Lin

Cheng Lin is an Assistant Professor at the Department of Computer Science and Engineering, Macau University of Science and Technology (MUST). He earned his Ph.D. in Computer Science from the University of Hong Kong (HKU) under Prof. Wenping Wang and completed a visiting research period at the Visual Computing Group, Technical University of Munich (TUM), advised by Prof. Matthias Nießner. His B.Eng. degree from Shandong University focused on geometry and graphics.

His research focuses on geometric modeling, 3D vision, shape analysis, and computer graphics, with recent contributions in diffusion models for 3D reconstruction, neural surface modeling, and material-aware generation. He has published extensively in top venues like SIGGRAPH, CVPR, and ECCV.

Key trends in his publications include advancing single-view 3D generation, multiview consistency, and neural diffusion techniques for geometric and material reconstruction. Notable works include PDT: Point Distribution Transformation with Diffusion Models (SIGGRAPH 2025) and Wonder3D (CVPR 2024).

Scientific Awards:

• CVPR 2024 Most Influential Papers (Corresponding Author)
• ICLR 2024 Most Influential Papers (First Author)
• CGF Top Cited Article 2022-2023
• Tencent Excellent Contributor [2022]
• National Scholarship of China [2013-2015]

Cheng Lin co-founded the non-profit research group AnySyn3D and has served as a reviewer for journals like TPAMI, TOG, and TVCG, as well as conferences including SIGGRAPH and CVPR.