Unlocking Any-Order Generation in Pretrained Autoregressive Image Models
Autoregressive (AR) image generators are powerful in principle but inflexible in practice: training with a fixed raster-scan order hardcodes a single factorization of the image distribution into the model, leaving it unable to inpaint, outpaint, or edit at inference time.
Explainer · on the wire
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Source · arXiv