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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

Summary

In this chapter, we looked at how you can apply the lessons and techniques of deepfakes to other environments. First, we examined how to align other types of images, using hands as an example. Then, we looked at the different types of masks and considered using them in a parking lot monitoring solution. Following this, we examined data management and considered how a dataset to detect different animals might be built.

This process of figuring out how to apply techniques in new environments used throughout this chapter is itself a valuable technique that can help you throughout your development career, especially if you’re going to work at the edge of your computer’s capabilities like AI does now. Sometimes, the only difference between a successful project and an impossible one is the technique you borrow from a previous project.

In the next chapter, we’re going to look at the potential and future of deepfakes and other generative AIs.

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