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: It achieved a Frechet Inception Distance (FID) score of 1.48 on the ImageNet-256 benchmark, outperforming many leading diffusion-based and masked transformer models. 868_1_RP.rar

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: RAR maintains full compatibility with standard language modeling frameworks, making it easier to integrate with existing AI architectures. Managing the .rar File 868_1_RP.rar

Published in , this paper introduces a new state-of-the-art method for generating images using an autoregressive (AR) framework.