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| license: apache-2.0 |
| pipeline_tag: text-to-image |
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| # Show the Signal, Hide the Noise: Spectral Forcing for Pixel-Space Diffusion |
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| This repository contains the weights for **Spectral Forcing**. |
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| - **Paper:** arxiv.org/abs/2606.15236 |
| - **Github Repository:** https://github.com/WeichenFan/Spectral_Forcing |
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| ## Introduction |
| Spectral Forcing (SF) is a parameter-free, time-conditional low-pass operator that makes the coarse-to-fine structure of diffusion explicit at the input of a pixel-space model. It is based on the observation that under rectified-flow diffusion and natural-image power-law spectra, a moving frequency front separates a signal-bearing low-frequency region from a noise-dominated high-frequency region at each timestep, and that a standard denoiser wastes capacity outside this region by reproducing closed-form maps rather than modeling the data. SF imposes this boundary directly via a 2D-DCT mask whose cutoff expands with the diffusion time and becomes the identity at the data endpoint, showing the network the signal and hiding the noise. |
