spectral-prior

This paper proposes Spectral Alignment (SPA), a lightweight guidance-based method that reduces exposure bias in diffusion models by calibrating the power spectrum of intermediate predictions, showing consistent improvements across pixel-space, latent, and flow-matching models with minimal computational overhead.