PartNet: A Recursive Part Decomposition Network for Fine-Grained and Hierarchical Shape Segmentation
PartNet: A Recursive Part Decomposition Network for Fine-Grained and Hierarchical Shape Segmentation
Deep learning approaches to 3D shape segmentation are typically formulated as a multi-class labeling problem. These models are trained for a fixed set of labels, which greatly limits their flexibility and adaptivity. We opt for top-down recursive decomposition and develop the first deep learning model for hierarchical segmentation of 3D …