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Exploring Deepfakes

You're reading from   Exploring Deepfakes Deploy powerful AI techniques for face replacement and more with this comprehensive guide

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Product type Paperback
Published in Mar 2023
Publisher Packt
ISBN-13 9781801810692
Length 192 pages
Edition 1st Edition
Languages
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Authors (2):
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Matt Tora Matt Tora
Author Profile Icon Matt Tora
Matt Tora
Bryan Lyon Bryan Lyon
Author Profile Icon Bryan Lyon
Bryan Lyon
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Table of Contents (15) Chapters Close

Preface 1. Part 1: Understanding Deepfakes
2. Chapter 1: Surveying Deepfakes FREE CHAPTER 3. Chapter 2: Examining Deepfake Ethics and Dangers 4. Chapter 3: Acquiring and Processing Data 5. Chapter 4: The Deepfake Workflow 6. Part 2: Getting Hands-On with the Deepfake Process
7. Chapter 5: Extracting Faces 8. Chapter 6: Training a Deepfake Model 9. Chapter 7: Swapping the Face Back into the Video 10. Part 3: Where to Now?
11. Chapter 8: Applying the Lessons of Deepfakes 12. Chapter 9: The Future of Generative AI 13. Index 14. Other Books You May Enjoy

Part 2: Getting Hands-On with the Deepfake Process

This part of the book is all about getting hands-on with the code. We will look deep into exactly what it takes to make a deepfake from beginning to end, leaving no stone unturned or line of code unexplained. If you’re here for the code, this is the section for you.

In the first chapter of this section, we’ll examine extraction. This is the process of getting all the faces out of a video so that we can use them in other stages of the process. We’ll look at the process of turning a video into frame images, then we’ll go through all the code necessary to turn the frames into clean, aligned faces with matching mask images ready for training. After that, we’ll look into training, examine the neural network from the bottom up, and then show the entire learning process of the model. Finally, we’ll get into conversion, where we’ll examine the process of going through every image to swap...

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