Neural Shape Mating: Self-Supervised Object Assembly with Adversarial Shape Priors

Abstract

Neural Shape MatingNeural Shape Mating Solid Shape Mating Form Fitting Shape PairsPoint Clouds Mating Results Neural Shape Mating Shell Shape MatingFigure 1. Pairwise 3D geometric shape mating. Neural Shape Mating (NSM) takes as input the point clouds of a pair of shapes and predicts the mating configuration as output. NSM learns to mate shapes together with self-supervision and does not require semantic information or target shapes as guidance at test time. Our method can be applied to various shape mating settings, including solid shape mating (top row), shell shape mating (middle row), and form fitting (bottom row).