A paper titled "Read, Allocate, Route: Role-Coupled Tokenization for Pixel-Space Generative Transformers" proposes role-coupled tokenization to cut the cost of pixel-space generative Transformers, which conventionally use one token per image patch so that finer detail demands more tokens and more expensive global attention. The authors observe that finer detail does not necessarily require more global communication, since low-frequency structure benefits from global attention while fine detail can be handled with fewer global tokens.
Pixel-space generative Transformers typically use one token per image patch, so capturing finer detail requires more tokens and makes global attention increasingly expensive. We observe that finer detail does not necessarily require more global communication: low-frequency structure benefits from gl
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