> The RAPSD of Gaussian noise is also a straight line on a log-log plot; but a horizontal one, rather than one that slopes down. This reflects the fact that Gau

> The RAPSD of Gaussian noise is also a straight line on a log-log plot; but a horizontal one, rather than one that slopes down. This reflects the fact that Gaussian noise contains all frequencies in equal measure Huh. Does this mean that pink noise would be a better prior for diffusion models than Gaussian noise, as your denoiser doesn’t need to learn to adjust the overall distribution? Or is this shift in practice not a hard thing to learn in the scale of a training run?