MetaRanker: Human-in-the-loop Active Ranking for Metalens Image Quality 事件

MetaRanker: Human-in-the-loop Active Ranking for Metalens Image Quality arXiv:2605.29212v1 Announce Type: new Abstract: Image quality in modern imaging systems emerges from the coupled effects of the sensor, optics, and computational reconstruction. Ultra-thin metalenses offer a path toward substantial miniaturization of optical modules, but practical designs often exhibit pronounced chromatic and field-dependent aberrations that necessitate computational reconstruction. In current metalens pip