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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

Deepfakes

Of course, this whole book has been about the past and present of deepfakes, so it makes sense to circle back to their future at the end. There is a lot we can learn about the future of deepfakes from the other AI mentioned in this chapter. This is because, sneakily, all the parts of this chapter have been building up to this section. Deepfakes are, after all, an image generation AI that works on domain-specific images with a shared embedding.

Every area that we’ve explored in this chapter can be used to improve deepfakes, so let’s approach them one at a time.

Sound generation

This one is quite simple and obvious. The next step after swapping a face would be to swap the voice too. If we could get a solid voice swap, then deepfakes would be taken to a whole new capability. Making music or other effects could also be useful if you were making a movie without any other people helping, but their utility would be otherwise limited (in deepfakes, other industries...

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