Diffusion Models


Diffusion Models are a type of likelihood-based models that have recently generated synthetic images of excellent quality.

Until recently, GANs were considered the state-of-the-art approach for image generation. While producing impressive results, they show some limitations: they are difficult to train and they capture less diversity than likelihood-based models.

Keep reading at Diffusion Models.