CAT uses LLM-scored captions to assign each image an 8x, 16x, or 32x compression and trains a nested VAE with variable-length latents, improving ImageNet generation FID and throughput over fixed-ratio baselines.
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CAT: Content-Adaptive Image Tokenization
CAT uses LLM-scored captions to assign each image an 8x, 16x, or 32x compression and trains a nested VAE with variable-length latents, improving ImageNet generation FID and throughput over fixed-ratio baselines.