Correcting Guided Diffusion Trajectories with Spectral Alignment

The paper introduces Spectral Correction Guidance, a training‑free method that uses spectral alignment to detect and correct deviations in guided diffusion trajectories. By comparing intermediate states to an analytic reference spectrum, the approach improves consistency with the forward process and enhances image generation quality. Experiments show consistent gains over baseline guidance in text‑to‑image tasks and on ImageNet, with benefits across guidance scales and fewer denoising steps.

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• diffusion
• safety