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November 2019
RPM-Net: recurrent prediction of motion and parts from point cloud
ACM Transactions on Graphics (TOG), Volume 38, Issue 6Article No.: 240, Pages 1–15https://doi.org/10.1145/3355089.3356573

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), ...
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