Unverified50% confidenceFactExact time
扩散模型生成过程在浮点数连续空间中运算，只在最终步骤才量化为整数，因此归纳偏置天然倾向于平滑渐变输出而非硬边界
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Long-term
Relevance
7/16/2026
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Unverified扩散模型的归纳偏置天然倾向于平滑、渐变的输出，无法在架构层面强制施加网格约束，即便专门训练的LoRA模型也只能在统计意义上让输出更像像素画75% similarUnverifiedThe mathematical essence of diffusion models is based on stochastic differential equations and score matching theory, underpinning image generation systems such as Stable Diffusion and DALL-E.70% similarUnverifiedBoth DALL·E 2 and Stable Diffusion are based on the principles of diffusion models.68% similarVerified扩散模型以 DALL-E 2、Stable Diffusion、Midjourney 为代表，重新定义了图像生成任务68% similarVerifiedStable Diffusion is based on the Latent Diffusion Model and generates high-quality images by performing a denoising process in a compressed latent space68% similar
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