A point cloud completion network that uses boundary points (the interface) as a structural prior and predicts coarse shapes as displacements of those boundary points achieves lower Chamfer distance than prior methods on ShapeNet, PCN, and KITTI.
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SPAC-Net: Rethinking Point Cloud Completion with Structural Prior
A point cloud completion network that uses boundary points (the interface) as a structural prior and predicts coarse shapes as displacements of those boundary points achieves lower Chamfer distance than prior methods on ShapeNet, PCN, and KITTI.