Book Image

Exploring Deepfakes

By : Bryan Lyon, Matt Tora
Book Image

Exploring Deepfakes

By: Bryan Lyon, Matt Tora

Overview of this book

Applying Deepfakes will allow you to tackle a wide range of scenarios creatively. Learning from experienced authors will help you to intuitively understand what is going on inside the model. You’ll learn what deepfakes are and what makes them different from other machine learning techniques, and understand the entire process from beginning to end, from finding faces to preparing them, training the model, and performing the final swap. We’ll discuss various uses for face replacement before we begin building our own pipeline. Spending some extra time thinking about how you collect your input data can make a huge difference to the quality of the final video. We look at the importance of this data and guide you with simple concepts to understand what your data needs to really be successful. No discussion of deepfakes can avoid discussing the controversial, unethical uses for which the technology initially became known. We’ll go over some potential issues, and talk about the value that deepfakes can bring to a variety of educational and artistic use cases, from video game avatars to filmmaking. By the end of the book, you’ll understand what deepfakes are, how they work at a fundamental level, and how to apply those techniques to your own needs.
Table of Contents (15 chapters)
1
Part 1: Understanding Deepfakes
6
Part 2: Getting Hands-On with the Deepfake Process
10
Part 3: Where to Now?

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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