A Statistical Benchmark for Diffusion Posterior Sampling Algorithms

Martin Zach, Youssef Haouchat, Michael Unser

We propose a statistical benchmark for diffusion posterior sampling (DPS) algorithms for Bayesian linear inverse problems. The benchmark synthesizes signals from sparse Lévy-proce…