ningyu1991 / inclusivegan Goto Github PK

Dear authors,

Really impressive work in solving the mode-dropping problem in GANs!

I am trying to reproduce some of the experimental results shown in Table 2. in the paper, specifically, the FID score of the StyleGAN2 baseline. I implemented a training/validation separation mechanism into the official StyleGAN2 codebase, run with the config-f (also --mirror-augment=true and --total-kimg=25000 [default value]) of the StyleGAN2, and yields a 5.xx FID score. Furthermore, the number seems quite consistent across multiple runs, and it seems like the number could have been further improved if some of the hyperparameters are finely tuned. I'm a bit confused if I have missed anything or you applied other StyleGAN2 configurations (other than the default config-f)?

Looking forward to your comments and code release!
Sincerely thanks!