Unverified50% confidenceFactExact time
MeanFlow is a generative modeling paradigm based on flow matching that parameterizes the average velocity of an entire trajectory as a single network output, theoretically enabling high-quality image synthesis in a single forward inference step.
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Long-term
Relevance
10/9/2026
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UnverifiedFlow matching is a generative model training method that directly learns a deterministic ODE path from the noise distribution to the data distribution, defines a linear interpolation path xt=(1-t)x₀+tx₁, and uses a neural network to learn to predict the velocity vector at every point along that path.71% similarUnverifiedRectified Flow is a specific implementation of flow matching that straightens the path between the source distribution and the target distribution into a straight line, enabling fewer integration steps and higher generation efficiency.71% similarUnverified输出生成是严格串行的自回归过程，每生成一个token都需要一次完整的模型前向传播65% similarUnverified工作流中的图像生成节点底层通常基于扩散模型（Diffusion Model），通过正向提示词引导模型生成符合描述的图像65% similarUnverifiedA reasoning stream refers to the model's output of its thinking process before giving a final answer, which is returned incrementally (as deltas) during streaming and is typically interleaved with tool calls.64% similar
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