Progressive Growing of GANs for Improved Quality, Stability, and Variation
Karras, Tero
and
Aila, Timo
and
Laine, Samuli
and
Lehtinen, Jaakko
arXiv e-Print archive - 2017 via Local Bibsonomy
Keywords:
dblp
Contribution
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1. New GAN training methodology - progressively going from low-res to hi-res, adding additional layers to the model.
https://i.imgur.com/2rQcnH1.png
2. When introducing new layers during training, it is gradually faded-in using a coefficient.
https://i.imgur.com/iuVaN1H.png
3. increasing variation of generated images by counting the standard deviation in the discriminator.
Datasets
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* CELEBA
* LSUN
* CIFAR10