no code implementations • 13 Jun 2022 • Theo Deprelle, Thibault Groueix, Noam Aigerman, Vladimir G. Kim, Mathieu Aubry
We demonstrate that this improves the quality of the learned surface representation, as well as its consistency in a collection of related shapes.
3 code implementations • NeurIPS 2019 • Theo Deprelle, Thibault Groueix, Matthew Fisher, Vladimir G. Kim, Bryan C. Russell, Mathieu Aubry
We propose to represent shapes as the deformation and combination of learnable elementary 3D structures, which are primitives resulting from training over a collection of shape.
Ranked #8 on 3D Dense Shape Correspondence on SHREC'19 (using extra training data)