AI RESEARCH
CAD-Free Learning of Spacecraft Pose Estimators via NeRF-Based Augmentations
arXiv CS.CV
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ArXi:2605.19649v1 Announce Type: new Spacecraft pose estimation networks require tens of thousands of CAD-rendered images to be trained. This reliance on synthetic CAD data (i) limits applicability to targets with reliable geometry prior, excluding uncooperative or poorly documented spacecraft, and (ii) causes poor generalization to real on-orbit conditions due to unrealistic illumination and material appearance. This paper