WAPR: A Foundation Model for Wide-Angle Refinement in Unseen Object Pose Estimation
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 with rotational deviations up to 90 degrees. With as few as 12 candidate poses per detected object instance, WAPR...
Yu-Lin Wang, Meng-Ting Hu, Hong-Li Li et al.
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