arXiv cs.CV
· Papers
Harnessing Generative Image Models for Training-Free Primitive Shape Abstraction
arXiv:2607.05568v1 Announce Type: new Abstract: Representing 3D shapes as compact sets of geometric primitives is fundamental to robotics, simulation, and scene understanding. Generative image models trained at scale have recently emerged as generalist visual learners that can identify and segment object parts directly