Daxiao Robotics, with researchers from The Chinese University of Hong Kong and Nanyang Technological University, open-sourced ACE-Ego-Hand, a first-person video bimanual 3D hand-shape reconstruction model and released roughly 5,000 hours of training data. The model repurposes a video diffusion architecture into a deterministic geometric encoder so a single forward pass replaces multi-step denoising, delivering about a 33x inference speedup. The technology converts egocentric manipulation video i

Daxiao Robotics, with researchers from The Chinese University of Hong Kong and Nanyang Technological University, open-sourced ACE-Ego-Hand, a first-person video bimanual 3D hand-shape reconstruction model and released roughly 5,000 hours of training data. The model repurposes a video diffusion architecture into a deterministic geometric encoder so a single forward pass replaces multi-step denoising, delivering about a 33x inference speedup. The technology converts egocentric manipulation video into structured 3D trajectories transferable to dexterous robot hands, significantly lowering the data-collection threshold for embodied imitation learning.