I have seen such artifacts only when discriminator gets trained faster, and it causes model collapse. But, in my case network is still being trained normally with the artifact as well.
The other reason could be overfitting, celebA dataset is well aligned to eyes and nose in same position in almost all images.
while testing I did realize that my GAN learns spatial key points descriptors, it does SOTA results on testing but fails on being presented with images outside from dataset, which gives hint maybe the GAN is over fitting in someway.
On changing dataset loader slightly, the pixel corruption does changes as well.
I am still not sure for the cause of pixel corruption.
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