Diffusion-Driven Point Cloud Adaption for Depth-Only 6D Pose Estimation in Cluttered Robotics Bin-Picking
D pose estimation in densely-packed, industrial environments remains a challenging perception problem due to severe occlusions, sensor noise, and the fragmentary nature of reconstructed 3D observations. To this end, we present a generative module for holistic, depth-only 6D pose estimation in cluttered bin-picking that...