Sparse Scheduled Diffusion Guidance for Inverse Problems

Abduragim Shtanchaev, Albina Ilina, Yazid Janati +3

Pretrained diffusion models are effective priors for Bayesian inverse problems, but posterior sampling with these priors is often costly because data-consistency guidance is applie…