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

Product typeBook
Published inApr 2021
PublisherPackt
ISBN-139781800200883
Edition1st Edition
Concepts
Artificial Intelligence
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Authors (2):
Joseph Babcock
Joseph Babcock
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Joseph Babcock


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Raghav Bali
Raghav Bali
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Raghav Bali


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High-level workflow

Fake content generation is a complex task consisting of a number of components and steps that help in generating believable content. While this space is seeing quite a lot of research and hacks that improve the overall results, the setup can largely be explained using a few common building blocks. In this section, we will discuss a common high-level flow that describes how a deepfake setup uses data to train and generate fake content. We will also touch upon a few common architectures used in a number of works as basic building blocks.

As discussed earlier, a deepfake setup requires a source identity (xs) which drives the target identity (xt) to generate fake content (xg). To understand the high-level flow, we will continue with this notation, along with the concepts related to the key feature set discussed in the previous section. The steps are as follows:

  • Input processing
    • The input image (xs or xt) is processed using a face...
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Generative AI with Python and TensorFlow 2
Published in: Apr 2021Publisher: PacktISBN-13: 9781800200883
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