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

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Published inApr 2021

PublisherPackt

ISBN-139781800200883

Edition1st Edition

Concepts

Artificial Intelligence

Authors (2):

Joseph Babcock

Raghav Bali

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Paired style transfer using pix2pix GAN

In Chapter 6, Image Generation with GANs, we discussed a number of innovations related to GAN architectures that led to improved results and better control of the output class. One of those innovations was conditional GANs. This simple yet powerful addition to the GAN setup enabled us to navigate the latent vector space and control the generator to generate specific outputs. We experimented with a simple MNIST conditional GAN where we were able to generate the output of our choice.

In this section, we will cover a variant of conditional GANs in the context of style transfer. We will go through details of the pix2pix architecture, discuss the important components and also train a paired style transfer network of our own. We will close this section with some amazing and innovative use cases of such a capability.

Style transfer is an intriguing research area, pushing the boundaries of creativity and deep learning together. In their work...

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

Paired style transfer using pix2pix GAN

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Authors (2)

Hands-On Image Generation with TensorFlow

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Hands-On Generative Adversarial Networks with Keras

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