style-based-gan-pytorch
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gen_in1 and gen_in2
Hi, I think tihis a great work. But I have a quitions about the gen_in1 and gen_in2 , when traning the discriminator, the latent feature is gen_in1 while when traning the generator the latent feature is gen_in2, the fake image in these two steps will different, is this some trick or may be mentioned in the paper. Thank you.
Actually it is just a matter of the choice - that is, backprop with samples that used to update discriminators or with new samples.