Liang Pan
Liang Pan is the Director of the Ambient Capture Group at ACE Robotics and an adjunct doctoral supervisor at Shanghai Jiao Tong University. He previously served as a research scientist at Shanghai AI Lab, where he led the World Model Team. His research focuses on 3D vision, world models, and embodied AI, and he is known for creating MotionDiffuse, a generative diffusion model for text-to-motion synthesis, as well as projects including OmniObject3D and DreamGaussian4D. He earned his PhD from the National University of Singapore.
“The dataset comprises 150 hours, 17M frames, 75,000 episodes across 200 task categories from 50 participants.”
Source→“ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine”
Source→AI-extracted from podcast / newsletter / paper summaries. May contain errors.