Boosting Hierarchical Features for Effective Multi-exposure Image Fusion

This study proposes a novel unsupervised multi-exposure image fusion architecture that effectively leverages latent information in source images, optimizes the fusion process using attention mechanisms, and enhances the color and saturation of the final fused image.