CVPR2020
Learning Generative Models of Shape Handles
Matheus Gadelha, Giorgio Gori, Duygu Ceylan, Radomír Mech, Nathan Carr, Tamy Boubekeur, Rui Wang, Subhransu Maji
Abstract
Gallery of 3D shapes generated as sets of handles (zoom for details). We propose a class of generative models for synthesizing sets of handles -lightweight proxies that can be easily utilized for high-level tasks such as shape editing, parsing, animation etc. Our model can generate sets with different cardinality and is flexible to work with various types of handles, such as sphere-mesh handles [37] (first and third figures) and cuboids (middle figure).