CORE4D
Description
CORE4D combines 1,000 real motion-captured sequences of two people collaboratively rearranging household objects with 10,000 retargeted sequences spanning roughly 3,000 virtual object shapes. Real sequences include SMPL-X human and object meshes, egocentric RGB, allocentric RGB-D, calibrated poses, and 2D segmentation masks across carrying, handover, joining, and obstacle-navigation scenarios. It targets collaborative motion forecasting, interaction synthesis, and transfer of human interaction patterns to robot policies.
License
CC BY 4.0.*
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