Web: http://arxiv.org/abs/2206.08497

June 20, 2022, 1:13 a.m. | Xianghao Xu, Yifan Ruan, Srinath Sridhar, Daniel Ritchie

cs.CV updates on arXiv.org arxiv.org

3D models of manufactured objects are important for populating virtual worlds
and for synthetic data generation for vision and robotics. To be most useful,
such objects should be articulated: their parts should move when interacted
with. While articulated object datasets exist, creating them is
labor-intensive. Learning-based prediction of part motions can help, but all
existing methods require annotated training data. In this paper, we present an
unsupervised approach for discovering articulated motions in a part-segmented
3D shape collection. Our approach …

3d arxiv detection part unsupervised

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