2022
RIM-Net: Recursive Implicit Fields for Unsupervised Learning of Hierarchical Shape Structures
CVPR 2022poster
We introduce RIM-Net, a neural network which learns recursive implicit fields for unsupervised inference of hierarchical shape structures. Our network recursively decomposes an input 3D shape into two parts, resulting in a binary tree hierarchy. Each level of the tree corresponds to an assembly of s…