CGLEN for unsupervised low-light image enhancement with PDE-guided structural continuity refinement
A continuity-guided low-light enhancement network, termed CGLEN, is proposed for unsupervised structure-aware image reconstruction, and indicates that explicitly modeling structural continuity provides an effective strategy for unsupervised low-light image enhancement, particularly in challenging illumination condition...