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Hands-On Image Generation with TensorFlow

You're reading from   Hands-On Image Generation with TensorFlow A practical guide to generating images and videos using deep learning

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Product type Paperback
Published in Dec 2020
Publisher Packt
ISBN-13 9781838826789
Length 306 pages
Edition 1st Edition
Languages
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Author (1):
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Soon Yau Cheong Soon Yau Cheong
Author Profile Icon Soon Yau Cheong
Soon Yau Cheong
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Table of Contents (15) Chapters Close

Preface 1. Section 1: Fundamentals of Image Generation with TensorFlow
2. Chapter 1: Getting Started with Image Generation Using TensorFlow FREE CHAPTER 3. Chapter 2: Variational Autoencoder 4. Chapter 3: Generative Adversarial Network 5. Section 2: Applications of Deep Generative Models
6. Chapter 4: Image-to-Image Translation 7. Chapter 5: Style Transfer 8. Chapter 6: AI Painter 9. Section 3: Advanced Deep Generative Techniques
10. Chapter 7: High Fidelity Face Generation 11. Chapter 8: Self-Attention for Image Generation 12. Chapter 9: Video Synthesis 13. Chapter 10: Road Ahead 14. Other Books You May Enjoy

Chapter 9: Video Synthesis

We have learned about and built many models for image generation, including state-of-the-art StyleGAN and Self-Attention GAN (SAGAN) models, in previous chapters. You have now learned about most if not all of the important techniques used to generate images, and we can now move on to video generation (synthesis). In essence, video is simply a series of still images. Therefore, the most basic video generation method is to generate images individually and put them together in a sequence to make a video. Video synthesis is a complex and broad topic in its own right, and we won't be able to cover everything in a single chapter.

In this chapter, we will get an overview of video synthesis. We will then implement what is probably the most well-known video generation technique, deepfake. We will use this to swap a person's face in a video with someone else's face. I'm sure you have seen such fake videos before. If you haven't, then just...

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