WAPR: A Foundation Model for Wide-Angle Refinement in Unseen Object Pose Estimation.

arXiv:2610.09535v1 Announce Type: cross Abstract: Real-world applications require 6D pose estimation to be accurate, fast, and scalable to unseen objects. This paper introduces WAPR, a zero-shot wide-angle pose refinement model that refines candidate poses wit