Yuanbo Xiangli

Yuanbo Xiangli is a postdoctoral researcher at Cornell University, advised by Prof. Noah Snavely. Previously, he obtained his Ph.D. from the Multimedia Lab in the Department of Information Engineering at the Chinese University of Hong Kong (CUHK), supervised by Prof. Dahua Lin. His research focuses on 3D computer vision and deep generative modeling for urban scene reconstruction.

• 3D scene reconstruction from sparse images
• Neural rendering and Gaussian splatting
• Deep generative modeling for urban environments
• Multi-source geospatial data processing
• City-scale modeling and synthetic datasets

His recent work includes advanced NeRF extensions (BungeeNeRF, GridNeRF), Gaussian splatting enhancements (GSDF, Scaffold-GS), and urban scene datasets (MatrixCity, OmniCity). A pioneer in combining classical vision techniques with modern deep learning approaches.

• ICLR 2020 Spotlight Award

Collaborates with leading researchers in photorealistic rendering, including Noah Snavely and Dahua Lin. Develops systems enabling efficient 3D reconstruction from diverse data sources like satellite imagery and street-level panoramas.