We propose a method to approximate the solution to Schrodinger Bridge and multi marginal momentum Schrodinger Bridge problems with discrete or continuous Gaussian Mixture Model marginal distributions.

This paper introduces ItDPDM, a Poisson-based diffusion model that directly models discrete data without relying on continuous embeddings or variational approximations, achieving improved likelihood estimation on music and image benchmarks.