Best Inventions of 2023 by TIME Magazine (Neuralangelo); Paper accepted to CVPR 2025 (DynPose-100K); Live demo at SIGGRAPH 2024 Real-Time Live!; Best AI and Best overall of CES 2025 (Cosmos); Paper accepted to ICCV 2023 (ATT3D); Two papers accepted to CVPR 2023 (Magic3D and Neuralangelo); Highlighted reviewer for ICLR 2022; Oral presentation paper at ICCV 2021 (BARF); Outstanding reviewer for CVPR 2021; Ph.D. thesis defense completed in 2021.
Research Experience
Senior Research Scientist at NVIDIA Research, working on computer vision, computer graphics, and generative AI applications. Interned at Facebook AI Research and Adobe Research.
Education
Ph.D. in Robotics from Carnegie Mellon University, advised by Simon Lucey and supported by the NVIDIA Graduate Fellowship; B.S. in Electrical Engineering from National Taiwan University.
Background
Research Interests: World modeling and 3D content creation, involving technologies using 3D reconstruction, neural rendering, generative models, and beyond. The goal of the research is to empower AI systems with 3D visual intelligence: human-level 3D perception and imagination abilities.
Miscellany
Email: chenhsuanl@nvidia.com; Active on X (Twitter), LinkedIn, GitHub; Released multiple projects and technical reports such as DynPose-100K, Cosmos, Edify 3D, etc.