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Daxiao Robotics, in collaboration with institutions such as the Chinese University of Hong Kong and Nanyang Technological University, has open-sourced ACE-eGO-Hand, a two-hand 3D shape reconstruction model for first-perspective videos, and has produced about 5,000 hours of training data. The model transforms the video diffusion model into a deterministic geometric encoder, uses a single feedforward instead of multi-step denoising, and speeds up inference by about 33 times. It is reported that this technology can directly transform human-first perspective operation videos into structured 3D trajectories and migrate them to dexterous hands, greatly reducing the data collection threshold for emulated intelligent imitation learning.
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Daxiao Robotics, in collaboration with institutions such as the Chinese University of Hong Kong and Nanyang Technological University, has open-sourced ACE-eGO-Hand, a two-hand 3D shape reconstruction model for first-perspective videos, and has produced about 5,000 hours of training data. The model transforms the video diffusion model into a deterministic geometric encoder, uses a single feedforward instead of multi-step denoising, and speeds up inference by about 33 times. It is reported that this technology can directly transform human-first perspective operation videos into structured 3D trajectories and migrate them to dexterous hands, greatly reducing the data collection threshold for emulated intelligent imitation learning.
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