RPM-Net: recurrent prediction of motion and parts from point cloud

We introduce RPM-Net, a deep learning-based approach which simultaneously infers movable parts and hallucinates their motions from a single, un-segmented, and possibly partial, 3D point cloud shape. RPM-Net is a novel Recurrent Neural Network (RNN), composed of an encoder-decoder pair with interleav...

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Veröffentlicht in:	ACM transactions on graphics 2019-11, Vol.38 (6), p.1-15
Hauptverfasser:	Yan, Zihao, Hu, Ruizhen, Yan, Xingguang, Chen, Luanmin, Van Kaick, Oliver, Zhang, Hao, Huang, Hui
Format:	Artikel
Sprache:	eng
Online-Zugang:	Volltext
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