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Morphing and Sampling Network for Dense Point Cloud Completion
[article]
2019
arXiv
pre-print
3D point cloud completion, the task of inferring the complete geometric shape from a partial point cloud, has been attracting attention in the community. For acquiring high-fidelity dense point clouds and avoiding uneven distribution, blurred details, or structural loss of existing methods' results, we propose a novel approach to complete the partial point cloud in two stages. Specifically, in the first stage, the approach predicts a complete but coarse-grained point cloud with a collection of
arXiv:1912.00280v1
fatcat:crhd5h2qnjderc66gz2owzknei