Learning Reference-Guided Exposure Correction with Hybrid Illumination Characteristics 事件

Learning Reference-Guided Exposure Correction with Hybrid Illumination Characteristics arXiv:2605.26729v1 Announce Type: new Abstract: We present HICNet, a reference-guided exposure correction framework. A lightweight, content-agnostic encoder distills each image into a compact illumination embedding capturing regional brightness, edge contrast, and higher-order luminance moments. The embedding difference between a source and its reference drives a multi-scale modulation network that combines F