You're reading from Generative AI with Python and TensorFlow 2

Product typeBook

Published inApr 2021

PublisherPackt

ISBN-139781800200883

Edition1st Edition

Concepts

Artificial Intelligence

Authors (2):

Joseph Babcock

Raghav Bali

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Progressive GAN

GANs are powerful systems to generate high-quality samples, examples of which we have seen in the previous sections. Different works have utilized this adversarial setup to generate samples from different distributions like CIFAR10, celeb_a, LSUN-bedrooms, and so on (we covered examples using MNIST for explanation purposes). There have been some works that focused on generating higher-resolution output samples, like Lap-GANs, but they lacked perceived output quality and presented a larger set of challenges for training. Progressive GANs or Pro-GANs or PG-GANs were presented by Karras et al. in their work titled GANs for Improved Quality, Stability, and Variation¹⁴ at ICLR-2018, as a highly effective method for generating high-quality samples.

The method presented in this work not only mitigated many of the challenges present in earlier works but also brought about a very simple solution to crack this problem of generating high-quality output samples. The paper...

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Generative AI with Python and TensorFlow 2

Published in: Apr 2021Publisher: PacktISBN-13: 9781800200883

Authors (2)

Joseph Babcock

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Progressive GAN

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Authors (2)

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