A new synthetic dataset with material-randomized stereo images and part-level action poses improves depth estimation and articulated object manipulation in simulation and real-world tests.
Where2act: From pixels to actions for articulated 3d objects,
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GAPartManip: A Large-scale Part-centric Dataset for Material-Agnostic Articulated Object Manipulation
A new synthetic dataset with material-randomized stereo images and part-level action poses improves depth estimation and articulated object manipulation in simulation and real-world tests.