Investigating the Feasibility of Patch-based Inference for Generalized
Diffusion Priors in Inverse Problems for Medical Images
Investigating the Feasibility of Patch-based Inference for Generalized
Diffusion Priors in Inverse Problems for Medical Images
Plug-and-play approaches to solving inverse problems such as restoration and super-resolution have recently benefited from Diffusion-based generative priors for natural as well as medical images. However, solutions often use the standard albeit computationally intensive route of training and inferring with the whole image on the diffusion prior. While patch-based approaches …