GASCN: Graph Attention Shape Completion Network. (arXiv:2201.07937v1 [cs.CV])

Shape completion, the problem of inferring the complete geometry of an object
given a partial point cloud, is an important problem in robotics and computer
vision. This paper proposes the Graph Attention Shape Completion Network
(GASCN), a novel neural network model that solves this problem. This model
combines a graph-based model for encoding local point cloud information with an
MLP-based architecture for encoding global information. For each completed
point, our model infers the normal and extent of the local surface …

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