DDGM: Solving inverse problems by Diffusive Denoising of Gradient-based Minimization

Kyle Luther, H. Sebastian Seung

Inverse problems generally require a regularizer or prior for a good solution. A recent trend is to train a convolutional net to denoise images, and use this net as a prior when so…