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Details about the training of the discriminator #1

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cuixing100876 opened this issue Apr 18, 2024 · 1 comment
Open

Details about the training of the discriminator #1

cuixing100876 opened this issue Apr 18, 2024 · 1 comment

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@cuixing100876
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Could you release the training details of the discriminator? The timestep used in diffusion_resampling seems to be in [0,1000], while the timestep used in https://github.com/alsdudrla10/DG/tree/main seems to be in [0,1]

@yujianll
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Thanks for your interests!

The discriminator in our setting is similar to the DG paper, where the input time step is in the range of [0, 1]. For experiments on ImageNet and FFHQ, the noise scale $\sigma$ ranges from 80 to 0, and it is converted to time in [0, 1] at this line. This is the same as the DG paper, and it's based on Equation 163 in the EDM paper.

Please let us know if you have any other questions.

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