AI RESEARCH
PQDT: Pseudo-Query Dual Transformer for Robust Point Cloud Restoration
arXiv CS.LG
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ArXi:2605.25127v1 Announce Type: cross Point clouds are a fundamental 3D representation in computer vision, enabling a wide range of perception tasks. However, real-world point clouds often suffer from degradations such as incompleteness, noise, outliers, and irregular density, caused by sensor limitations or occlusions. Recovering clean and detailed shapes from such degraded data is crucial for downstream applications.