[Discussion] training a diffusion model with a destructive process other than gaussian noise

• Cold-Diffusion-Models

  14 933 0.0 Python

  Official implementation of Cold-Diffusion for different transformations in pytorch.

Sure you can. You might be interested in cold diffusion (https://arxiv.org/abs/2208.09392) which tries doing a bunch of different kinds of degradation processes besides adding gaussian noise. You can kind of choose whatever input corruption process you want and teach the model to reverse it, and it works kinda well (I think gaussian noise might be better though)

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