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PGGAN model on CIFAR10 obtains poor result on Inception score and FID #104

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GongXinyuu opened this issue Feb 15, 2020 · 2 comments
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@GongXinyuu
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Hi, thanks for your great work. I use the official release tf code of Inception score and FID code to evaluate the PGGAN model on CIFAR10. It turns out the results are not good.

Here's my command to train:

python datasets.py cifar10 ~/dataset/cifar-10-batches-py -o data/cifar10
python train.py PGAN -c config_cifar10.json -n cifar10_eval --no_vis

The result I got is:

FID score: 42.96, Inception score: 6.34299373626709 ± 0.06940167397260666

@XenonLamb
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May I ask how did you get the FID score for the pytorch PGGAN model?

@GongXinyuu
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May I ask how did you get the FID score for the pytorch PGGAN model?

I'm using this repo.

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