AI RESEARCH
Flicker-DDPM: Accelerating Denoising Diffusion via 1/f Colored Noise Injection
arXiv CS.LG
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ArXi:2606.03393v1 Announce Type: new 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^{\alpha.