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cs.CV2026
Autoregressive Visual Generation Needs a Prologue
Bowen Zheng, Weijian Luo, Guang Yang +2
In this work, we propose Prologue, an approach to bridging the reconstruction-generation gap in autoregressive (AR) image generation. Instead of modifying visual tokens to satisfy…
cs.CV2026
Taming the Entropy Cliff: Variable Codebook Size Quantization for Autoregressive Visual Generation
Bowen Zheng, Weijian Luo, Guang Yang +2
Most discrete visual tokenizers rely on a default design: every position in the sequence shares the same codebook. Researchers try to scale the codebook size to get better reco…