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University of Bonn
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Uncertainty can be harnessed to enhance the reliability of depth-only 3D semantic segmentation without compromising privacy.
People want blurry robot vision, but *how* blurry depends on how close the robot is and how nosy they think it's being.
3D diffusion models can be harnessed to generate object priors for one-shot view planning, enabling robots to efficiently reconstruct objects by focusing on complex regions.
