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NesTok: Nested Self-Aligned 1D Tokenizer for Autoregressive Image Generation
One-dimensional (1D) variable-length visual tokenizers enable adaptive compression by varying the number of tokens, allowing downstream autoregressive (AR) models to flexibly trade off generation quality against computational cost using a single tokenizer. However, existing approaches based on neste
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