Diffusion Probabilistic Models beat GANs on Medical Images

Gustav Müller-Franzes, Jan Moritz Niehues, Firas Khader +8

The success of Deep Learning applications critically depends on the quality and scale of the underlying training data. Generative adversarial networks (GANs) can generate arbitrary…