Verified75% confidenceFactExact time
Masked Diffusion defines the noise-adding operation as randomly replacing tokens with [MASK] tokens, with denoising corresponding to predicting the original tokens at the masked positions
3
Sources
75%
Confidence
Long-term
Relevance
7/8/2026
First Seen
Sources
Google's AI Blitz: Gemini 3.5 Live Translate, NotebookLM Upgrades, and DiffusionGemma Explained
twitterGoogleAI6/12/2026
Related Claims
UnverifiedDiffusionGemma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74% similarUnverifiedThe input to the diffusion backbone network simultaneously contains two types of information—latent image and diffusion noise—where the noise actually encodes diffusion trajectory information.72% similarUnverifiedThe denoising sampling process of a diffusion model can be regarded as the solution of a stochastic differential equation, comprising a deterministic drift term and a stochastic diffusion term.71% similarUnverifiedStochastic interpolators are a class of mathematical frameworks for constructing generative models that connect a noise distribution to a target data distribution via stochastic differential equation paths, allowing free choice of the endpoints and form of the interpolation path.68% 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68% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/240913API
curl https://kongchang.com/api/v1/knowledge/claims/240913MCP
get_claim(id=240913)