AI RESEARCH
SHOW3D: Capturing Scenes of 3D Hands and Objects in the Wild
arXiv CS.CV
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ArXi:2603.28760v1 Announce Type: new Accurate 3D understanding of human hands and objects during manipulation remains a significant challenge for egocentric computer vision. Existing hand-object interaction datasets are predominantly captured in controlled studio settings, which limits both environmental diversity and the ability of models trained on such data to generalize to real-world scenarios. To address this challenge, we