This is achieved by learning to predict the node type which determines how to decompose a node and when to stop the decomposition. • Node segmentation module ...

Mar 2, 2019 · We opt for top-down recursive decomposition and develop the first deep learning model for hierarchical segmentation of 3D shapes, based on recursive neural ...

We opt for topdown recursive decomposition and develop the first deep learning model for hierarchical segmentation of 3D shapes, based on recursive neural ...

We opt for top-down recursive decomposition and develop the first deep learning model for hierarchical segmentation of 3D shapes, based on recursive neural ...

To this end, we use PartNet to decompose the point cloud into fine-grained parts. Each of the decomposed parts is then passed through a part refiner which is an ...

PartNet: A Recursive Part Decomposition Network for Fine-grained and. Hierarchical Shape Segmentation. Fenggen Yu. 1∗. Kun Liu. 1*. Yan Zhang. 1. Chenyang Zhu.

PartNet: A Recursive Part Decomposition Network for Fine-Grained and Hierarchical Shape Segmentation · Fenggen Yu, Kun Liu, +2 authors. Kai Xu · Published in ...

We opt for topdown recursive decomposition and develop the first deep learning model for hierarchical segmentation of 3D shapes, based on recursive neural ...

Apr 23, 2024 · PartNet: A Recursive Part Decomposition Network for Fine-Grained and Hierarchical Shape Segmentation. June 2019. DOI:10.1109/CVPR.2019.00972.

The symmetry hierarchies were used to train the PartNet model proposed in our paper "PartNet: A Recursive Part Decomposition Network for Fine-grained and ...