Robust Image Restoration by Denoising Diffusion Models with Iteratively Preconditioned Guidance

A novel preconditioned data-fidelity guidance approach that traverses from back-projection steps to least squares steps, exploiting the advantages of each, enables robust image restoration using denoising diffusion models.