Diffusion Models Beat GANs at Image Classification: This AI Research Finds Diffusion Models Outperform Comparable Generative-Discriminator Methods Like BigBiGAN for Classification Tasks

Diffusion Models Beat GANs at Image Classification: This AI Research Finds Diffusion Models Outperform Comparable Generative-Discriminator Methods Like BigBiGAN for Classification Tasks

Learning unified and unsupervised visual representations is a crucial but difficult task. Many computer vision problems fall into two basic categories: discriminative or generative. A model that can assign labels to individual images or slices of images is trained by learning the discriminant representation. To use generative learning, you would create a model that creates…