Equipping Diffusion Models with Differentiable Spatial Entropy for
Low-Light Image Enhancement
Equipping Diffusion Models with Differentiable Spatial Entropy for
Low-Light Image Enhancement
Image restoration, which aims to recover high-quality images from their corrupted counterparts, often faces the challenge of being an ill-posed problem that allows multiple solutions for a single input. However, most deep learning based works simply employ l1 loss to train their network in a deterministic way, resulting in over-smoothed …