A multimodal comparison of latent denoising diffusion probabilistic models and generative adversarial networks for medical image synthesis

Although generative adversarial networks (GANs) can produce large datasets, their limited diversity and fidelity have been recently addressed by denoising diffusion probabilistic models, which have demonstrated superiority in natural image synthesis. In this study, we introduce Medfusion, a conditio... View More