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?

Understanding the value of variety

Variety is the single most defining trait of a good dataset. The best datasets will all have a large variety of poses, expressions, and lighting situations, while the worst results will come from data lacking variety in one or more of these categories. Some of the areas of variety we’ll cover in this section include pose, expression, and lighting.

Pose

Pose is a simple category to both see and understand. Pose is simply the direction and placement of the face in the image. When it comes to deepfakes, only the pose of the face itself matters – the rest of the body’s pose is ignored. Pose in deepfakes is important so that the AI can learn all the angles and directions of the face. Without sufficient pose data, the AI will struggle to match the direction of the face and you’ll end up with poor results.

Figure 3.2 – Examples of different poses

Figure 3.2 – Examples of different poses

One quick way to get the full range of...