dNaViT: Discrete Codes are General-Purpose Visual Representations

dNaViT is a Discrete Native-resolution Vision Transformer that produces discrete visual primitives analogous to language tokens. This work extends discrete autoregressive modeling to vision to foster a unified framework for visual and language models. dNaViT functions as a versatile discrete visual tokenizer enabling unified encoding across downstream tasks.