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Mulin Yu 于沐霖
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I am currently a Researcher at Shanghai AI Lab, where I explore cutting-edge techniques in 3D vision and scene reconstruction. Before that, I was a Postdoctoral Researcher in the IDC research group at Shanghai AI Lab, working closely with Bo Dai and Dahua Lin. I earned my PhD from INRIA in 2022, under the supervision of Prof. Florent Lafarge. My research passion lies in surface reconstruction, city modeling, novel view synthesis, and spatial point processes—bringing digital worlds to life with precision and realism.
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Publications
Horizon-GS: Unified 3D Gaussian Splatting for Large-Scale Aerial-to-Ground Scenes
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Octree-GS: Towards Consistent Real-time Rendering with LOD-Structured 3D Gaussians
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GSDF: 3DGS Meets SDF for Improved Rendering and Reconstruction
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Scaffold-GS: Structured 3D Gaussians for View-Adaptive Rendering
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Sharp Feature Consolidation from Raw 3D Point Clouds via Displacement Learning
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KIBS: 3D detection of planar roof sections from a single satellite image
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Repairing geometric errors in 3D urban models with kinetic data structures
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Finding Good Configurations of Planar Primitives in Unorganized Point Clouds
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Activities
Super Postdoc of Shanghai
Best Poster Award of MOMI 2022
Reviewer : CVPR, ECCV, TPAMI, CAD, JPRS, Siggraph...
Design and source code from Kaiming He. |