ShapeFormer: Transformer-based Shape Completion via Sparse Representation
Computer Vision and Pattern Recognition (CVPR), 2022. A transformer-based network that produces a distribution of object completions, conditioned on incomplete, and possibly noisy, point clouds.
RPM-Net: Recurrent Prediction of Motion and Parts from Point Cloud
ACM Transactions on Graphics (Proc. SIGGRAPH Asia), 2019. 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.
Transductive Zero-Shot Learning with Visual Structure Constraint