SHOW3D: Capturing Scenes of 3D Hands and Objects in the Wild Patrick Rim, Kevin Harris, Braden Copple, Shangchen Han, Xu Xie, Ivan Shugurov, Sizhe An, He Wen, Alex Wong, Tomas Hodan, and Kun He CVPR 2026; https://arxiv.org/abs/2603.28760 SHOW3D is a large scale multi view dataset of hand–object interactions captured in the wild . It is intended to advance research on egocentric 3D hand–object interaction understanding, and generalization of perception models to real world conditions. Recordings are captured with a lightweight, back mounted multi camera rig, allowing nearly unconstrained mobility . The rig is synchronized and calibrated with a user worn Meta Quest 3 headset , providing 2 egocentric views + 8 exocentric views per scene. Ground truth: accurate marker less 3D pose for hands and interacting objects, as well as detailed text captions. Dataset summary Volumes Recordings (scenes) 2,137 Cameras per recording 10 (2 egocentric headset + 8 exocentric rig) Synchronized multi view frames 4,276,772 Individual images (ego) 8,553,544 Individual images (full multi view) ≈ 42.5 M Total recording duration 20 hours Per recording specs Frame rate 60 fps Mean recording length 33.5 s (≈ 2…
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