Enhancing Low-light Images with Semi-supervised Contrastive Learning and Mamba-based Feature Extraction

A semi-supervised low-light image enhancement framework that leverages unpaired data, semantic-aware contrastive loss, and a Mamba-based backbone to generate visually appealing images with natural colors and rich textural details.