An invertible neural network trained to mimic image degradations is used to steer a pretrained diffusion model in every sampling step, giving a blind and non-blind image restoration algorithm.
Plug-and-play methods for integrating physical and learned models in computational imaging: Theory, algorithms, and applications,
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INDIGO+: A Unified INN-Guided Probabilistic Diffusion Algorithm for Blind and Non-Blind Image Restoration
An invertible neural network trained to mimic image degradations is used to steer a pretrained diffusion model in every sampling step, giving a blind and non-blind image restoration algorithm.