An unsupervised diffusion-based enhancer with caption, reflectance, and cycle-attention consistency losses improves zero-shot classification, face detection, and night segmentation on low-light images.
Retinexformer: One-stage retinex- based transformer for low-light image enhancement
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From Enhancement to Understanding: Build a Generalized Bridge for Low-light Vision via Semantically Consistent Unsupervised Fine-tuning
An unsupervised diffusion-based enhancer with caption, reflectance, and cycle-attention consistency losses improves zero-shot classification, face detection, and night segmentation on low-light images.