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 3: Where to Now?

Like all inventions, the development of deepfakes is just the beginning. Now that you know how deepfakes work, where can you take that knowledge and what can you do with it? You might be surprised at how flexible the techniques can be.

In this part, we’ll examine some hypothetical projects and how techniques in deepfakes could be used to make them easier, as well as solving complicated issues that might otherwise stump the average developer (you’re not one of those – after all, you bought this book!). Then, we’ll ask the ultimate question: what will the future bring? We’ll try to answer it by looking at where generative AI might go in the near future, including looking at the limitations and challenges that these AI technologies must overcome.

This part comprises the following chapters: