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?

Part 1: Understanding Deepfakes

Deepfakes are a new (and controversial) technique using generative AI. But despite the basic idea that they swap one face with another, how much do you really know about deepfakes?

It’s normal to have questions about something such as deepfakes, and this section will address those questions. We’ll start with the basics of how they work and the machine learning principles that deepfakes are built on, and then take a look at what software is available to make deepfakes. After that, we’ll examine the ethics of deepfakes, including the unsavory beginnings, and build a framework of sorts to evaluate how to make ethical deepfakes. Then, we’ll look at the most important part of creating a deepfake: data, including explanations of what makes good data and how to get the most from your (not-so-great) data. Finally, we’ll walk you through a complete deepfake using Faceswap, an open source deepfake program.

By the end of...