FoundObj: Self-supervised Foundation Models as Rewards for Label-free 3D Object Segmentation

We address the challenging task of 3D object segmentation in complex scene point clouds without relying on any scene-level human annotations during training. Existing methods are typically constrained to identifying simple objects, primarily due to insufficient object priors in the learning process....