Unverified50% confidenceFactExact time
DiffusionGemma采用整片并行去噪的生成机制，先铺开256个位置的噪声，然后逐轮迭代，将置信度最高的位置先固定，其余位置重新注入噪声
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50%
Confidence
Long-term
Relevance
8/27/2026
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Related Claims
UnverifiedMasked Diffusion defines the noise-adding operation as randomly replacing tokens with [MASK] tokens, with denoising corresponding to predicting the original tokens at the masked positions74% similarVerified扩散模型的核心原理分为前向扩散过程（逐步添加高斯噪声）和反向去噪过程（从噪声中还原图像）两个阶段74% similarUnverified扩散模型通过模拟从噪声到结构的去噪过程能有效采样配体的多种低能构象，DiffDock采用此核心技术路线71% similarVerified扩散模型是一类基于马尔可夫链的生成模型，核心思想是通过前向加噪和反向去噪来捕捉数据分布71% similarUnverifiedThe core principle of intelligent redrawing (img2img) is to add a certain level of noise to the original image and then have the diffusion model progressively denoise and restore it, rather than generating from pure noise.70% similar
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