Unverified50% confidenceFactExact time
Continuous-space diffusion first maps discrete tokens to a continuous embedding space to perform Gaussian noise diffusion and denoising, then maps back to the discrete vocabulary, but the discretization step may introduce error accumulation.
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50%
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Long-term
Relevance
9/1/2026
First Seen
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Unverified主流扩散模型在像素空间进行迭代去噪，文字的精确笔画结构对该过程极为敏感，细微噪声扰动会导致字形崩坏74% similarUnverifiedIf the specified duration exceeds the actual amount of content provided, the model will fill the gap with meaningless noise.71% similarUnverifiedToo much persistent context consumes window space and introduces noise, while too little transient context causes the agent to lose critical constraints, requiring a trade-off between the two.68% similar
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