Diffusion priors for Bayesian 3D reconstruction from incomplete measurements

Julian L. Möbius, Michael Habeck

Many inverse problems are ill-posed and need to be complemented by prior information that restricts the class of admissible models. Bayesian approaches encode this information as p…