Stimulating the Diffusion Model for Image Denoising via Adaptive Embedding and Ensembling

arXiv:2307.03992v4 Announce Type: replace
Abstract: Image denoising is a fundamental problem in computational photography, where achieving high perception with low distortion is highly demanding. Current methods either struggle with perceptual quality or suffer from significant distortion. Recently, the emerging diffusion model has achieved state-of-the-art performance in various tasks and demonstrates great potential for image denoising. However, stimulating diffusion models for image denoising is not straightforward and requires solving several critical problems. For one thing, the input inconsistency hinders the connection …

arxiv cs.cv denoising diffusion diffusion model embedding image type via