2 papers
cs.CV2026
Learning Structural Illumination for Unsupervised Low-light Enhancement
Tianle Du, Peiyuan He, Hainuo Wang +2
Existing unsupervised low-light image enhancement (LLIE) methods often estimate illumination directly from the entire low-light input, without separating its spatially varying illu…
cs.CV2026
Internally Referenced Low-Light Enhancement
Peiyuan He, Hainuo Wang, Hengxing Liu +2
Self-supervised low-light image enhancement (LLIE) is highly appealing as it eliminates the reliance on external paired data. However, the lack of external references causes networ…