Flicker-DDPM: Accelerating Denoising Diffusion via 1/f Colored Noise Injection
We propose a novel diffusion model, Flicker-DDPM, which incorporates flicker (1/f) noise inspired by self-organized criticality (SOC), a widely observed phenomenon in natural systems. Unlike denoising diffusion probabilistic models (DDPMs), which employ isotropic white noise in the forward process, Flicker-DDPM adopts colored noise with power-law spectra to better match the spectral statistics of natural images, whose power spectra typically follow P(k) proportional to 1/k^α. To this end, we develop a colored-noise module based on a spatial correlation kernel, σ(d) = (d + 1)^{-η}, and theoretically establish that adjusting η controls the spectral exponent α of the generated 1/fα noise, en...
| Authors | KeXiang Mao, FanCheng Li |
|---|---|
| Primary category | cs.LG |
| Published | 2 June 2026 |
| Last updated at source | 3 June 2026 |
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