Verified65% confidenceFactExact time
The core idea of the denoising process originates from DDPM (Denoising Diffusion Probabilistic Models), proposed in 2020.
3
Sources
65%
Confidence
Long-term
Relevance
8/27/2026
First Seen
Sources
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Related Claims
Unverified扩散模型在噪声水平高的早期去噪步骤对精度相对不敏感，在噪声水平低的后期精细化步骤对数值扰动更敏感72% similarUnverifiedThe random seed determines the initial noise pattern, while the sampler (such as DDPM, DDIM, Euler, or DPM-Solver) determines the denoising path from noise to a clear image.71% similarUnverifiedThe improved DDIM sampler requires 20-50 denoising iterations.68% similarUnverifiedThe denoising process of a diffusion model typically comprises tens to hundreds of denoising steps.68% similar
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