3D Shape Segmentation with Geometric Deep Learning

2 Feb 2020 Davide Boscaini Fabio Poiesi

The semantic segmentation of 3D shapes with a high-density of vertices could be impractical due to large memory requirements. To make this problem computationally tractable, we propose a neural-network based approach that produces 3D augmented views of the 3D shape to solve the whole segmentation as sub-segmentation problems... (read more)

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