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GraspFoM reveals that leveraging 3D object priors can dramatically enhance both grasping accuracy and 3D reconstruction fidelity with minimal overhead.
Event cameras can now estimate depth with significantly improved temporal consistency and accuracy thanks to a novel distillation approach from video foundation models, achieving a 53% reduction in depth error.