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View Code? Open in Web Editor NEW[CVPR 2023] GLeaD: Improving GANs with A Generator-Leading Task
Home Page: https://ezioby.github.io/glead/
[CVPR 2023] GLeaD: Improving GANs with A Generator-Leading Task
Home Page: https://ezioby.github.io/glead/
Hi,
Are you intending to upload your code ?
Hello,
Default settings in the "train_scripts_.py" uses reg_target_fake as 'gfeat' and reg_target_real as 'gfwimage'.
In this setting means the combination of glead and ggdr? ( in Table 1.)
Thanks,
In loss_glead.py in line 207. if do_Dmain or do_Dr1:
. My understanding is that this if block is supposed to compute the GAN loss for the real images + the glead regularization loss and or the R1 regularization loss. And I guess that if only R1 regularization is wanted (meaning do_Dmain
is False then neither the gan loss nor the glead regularization loss is supposed to be computed. While in fact the GAN loss is not computed (line 231 if do_Dmain:
), the glead loss is still computed one extra time (one more time than for fake images). So my question is whether this was or wasn't intentional.
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