Adaptive Spectral Feature Forecasting for Diffusion Sampling Acceleration
Spectrum is a training-free method that accelerates diffusion sampling by reusing global features across time steps. It approximates latent features as functions over time using Chebyshev polynomials, allowing for fast, long-range feature prediction while maintaining high sample quality.