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lucidrains avatar lucidrains commented on May 23, 2024 6

@iboates yup, EMA stands for exponential moving average, and it's simply a way to keep an approximate average of some variable, weighted by the more recent values. there's a trick to make this work, code-wise, by keeping and updating a single variable.

mixing regularity is a technique introduced in stylegan to improve disentanglement of each resolution layer (recall that in stylegan, the latent vector z is translated to style vector w by a feedforward network, each w is then fed into each resolution layer). what you do is, 10% of the time, you actually pick two random z's resulting in two random w's. you then feed N random resolution layers one of the w's and the rest the other

from stylegan2-pytorch.

johndpope avatar johndpope commented on May 23, 2024

Hey Phil, @lucidrains

I got a problem here related to ema.
danielroich/PTI#26

The PTI repo spits out a new torch generator/ and I’ve attempted to retrofit it back to a pkl file I can use. And it seems it’s the ema that’s out of whack -
https://gist.github.com/johndpope/d1e84bf42e43d266b9a640a2fc958e2d#file-notebook-py-L100

Question is
Could I retrospectively calculate the generator ema after the fact….

from stylegan2-pytorch.

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