AI RESEARCH
PointQ-Bench: Benchmarking Diagnostic and Interpretable Point Cloud Quality Assessment
arXiv CS.CV
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ArXi:2605.28241v1 Announce Type: new Point cloud quality plays a critical role in 3D acquisition, reconstruction, rendering, and perception, yet existing point cloud quality assessment (PCQA) research remains largely centered on scalar score prediction. In practical inspection scenarios, quality assessment often involves identifying defects, characterizing dominant issue types, assessing downstream usability, and providing evidence-ed descriptions, which are not explicitly evaluated by current benchmarks. We.