I'm a Postdoc at Shanghai AILab in the IDC research group, working with Bo Dai and Dahua Lin. I received my PhD from INRIA in 2022, supervised by Prof. Florent Lafarge. My favorite topics include surface reconstruction, city modeling, novel view synthesis, and spatial point processes.

Octree-GS: Towards Consistent Real-time Rendering with LOD-Structured 3D Gaussians
Kerui Ren*, Lihan Jiang*, Tao Lu, Mulin Yu, Linning Xu and Bo Dai^†
arXiv, 2024
Project page     paper     code

GSDF: 3DGS Meets SDF for Improved Rendering and Reconstruction
Mulin Yu*, Tao Lu*, Linning Xu, Lihan Jiang, Yuanbo Xiangli^†, and Bo Dai
arXiv, 2024
Project page     paper     code

Scaffold-GS: Structured 3D Gaussians for View-Adaptive Rendering
Tao Lu*, Mulin Yu*, Linning Xu, Yuanbo Xiangli, Limin Wang, Dahua Lin and Bo Dai^†
CVPR, 2024, highlight
Project page     paper     code

Sharp Feature Consolidation from Raw 3D Point Clouds via Displacement Learning
Tong Zhao*, Mulin Yu*^†, Pierre Alliez, and Florent Lafarge
Computer Aided Geometric Design (CAGD), vol. 103 (2023)
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3D detection of roof sections from a single satellite image and application to LOD2-building reconstruction
Johann Lussange, Mulin Yu, Yuliya Tarabalka, Florent Lafarge^†
arXiv, 2024
paper    

Repairing geometric errors in 3D urban models with kinetic data structures
Mulin Yu, Florent Lafarge^†, Sven Oesau, and Bruno Hilaire
ISPRS Journal of Photogrammetry and Remote Sensing (JPRS), Volume 192, 2022
paper

Finding Good Configurations of Planar Primitives in Unorganized Point Clouds
Mulin Yu, and Florent Lafarge^†
Computer Vision and Pattern Recognition (CVPR), 2022
paper     supplementary     code