Spectral Alignment Reduces Diffusion Model Exposure Bias

Spectral Alignment (SPA) mitigates frequency-dependent error accumulation in diffusion models by calibrating the power spectrum of intermediate predictions to a training-derived prior. The method uses efficient FFT-based gradient computation to introduce minimal computational overhead during inference.