2022
Unsupervised Learning of Shape Programs with Repeatable Implicit Parts
NeurIPS 2022accept
Shape programs encode shape structures by representing object parts as subroutines and constructing the overall shape by composing these subroutines. This usually involves the reuse of subroutines for repeatable parts, enabling the modeling of correlations among shape elements such as geometric simi…