Do you ever retrain the stylegan network?

[Zhentao-Liu]

pSp is a really great job for image to image translation. But there is a question that do you ever retrain the stylegan network for your applications (inversion, impainting, super-resolution)? I find that the stylegan model file you provide in your project is different from the NVIDIA official implementation. So I wander if you used the fixed stylegan generator (the same as NVIDIA provided) or retrain it.

[yuval-alaluf]

The StyleGAN generator we use here is the official generator that was converted from tensorflow to pytorch. We do not train our own generator.

[Zhentao-Liu]

Thanks for your reply! I find that I do my research on stylegan2-ada-pytorch, that's maybe different from your stylegan implementation. So you mean that you just copy the weights of the original stylegan for your decoder part without retraining it?

---Original--- From: @.> Date: Sun, Sep 18, 2022 00:02 AM To: @.>; Cc: "Zhentao @.@.>; Subject: Re: [eladrich/pixel2style2pixel] Do you ever retrain the stylegannetwork? (Issue #287)

The StyleGAN generator we use here is the official generator that was converted from tensorflow to pytorch. We do not train our own generator.

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[yuval-alaluf]

Correct, we don't retrain it. We used rosinality's implementation of StyleGAN2 rather than StyleGAN2-ada-pytorch, but you can convert the models by following the instructions here.