Resfusion: Denoising Diffusion Probabilistic Models for Image Restoration Based on Prior Residual Noise

Neural Information Processing Systems 

Traditional diffusion-based image restoration methods utilize degraded images as conditional input to effectively guide the reverse generation process, without modifying the original denoising diffusion process.