Data relativistic uncertainty framework for low-illumination anime scenery image enhancement

ArXi:2512.21944v3 Announce Type: replace-cross By contrast with the prevailing works of low-light enhancement in natural images and videos, this study copes with the low-illumination quality degradation in anime scenery images to bridge the domain gap. For such an underexplored enhancement task, we first curate images from various sources and construct an unpaired anime scenery dataset with diverse environments and illumination conditions to address the data scarcity.