© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2021
D. PaperState-of-the-Art Deep Learning Models in TensorFlowhttps://doi.org/10.1007/978-1-4842-7341-8_11

11. Progressive Growing Generative Adversarial Networks

David Paper1  
Logan, UT, USA

GANs are effective at generating crisp synthetic images, but are limited in size to about 64 × 64 pixels. A Progressive Growing GAN is an extension of the GAN that enables training generator models to generate large high-quality images up to about 1024 × 1024 pixels (as of this writing). The approach has proven effective at generating high-quality synthetic faces that are startlingly realistic.

The key innovation of Progressive Growing GANs is the incremental increase ...

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