Outlier-robust Diffusion Posterior Sampling for Bayesian Inverse Problems

Yiming Yang, Xiaoyuan Cheng, Yi He +3

Diffusion models have emerged as powerful learned priors for Bayesian inverse problems (BIPs). Diffusion-based solvers rely on a presumed likelihood for the observations in BIPs to…