AUTO-REGRESSIVE MODEL FOR IMAGE GENERATION

Summary from the TLDR AI newsletter

DiGIT is an auto-regressive generative model that predicts tokens in a latent space using self-supervised learning. It is a discrete tokenizer that improves image generation on ImageNet by clustering hidden states from DINOv2.