CaTok: Taming Mean Flows for One-Dimensional Causal Image Tokenization
CaTok: Taming Mean Flows for One-Dimensional Causal Image Tokenization explores CaTok is a 1D causal image tokenizer with a MeanFlow decoder that enables fast one-step generation and high-fidelity multi-step sampling, achieving state-of-the-art results on ImageNet reconstruction.. Commercial viability score: 7/10 in Image Tokenization.
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