Progressive Growing of GANs for Improved Quality, Stability, and Variation Progressive Growing of GANs for Improved Quality, Stability, and Variation
Paper summary Contribution ------------ 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 --------------------- * CELEBA * LSUN * CIFAR10
arxiv.org
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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


Summary by Kirill Pevzner 8 months ago
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