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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

Image translation with pix2pix

The introduction of pix2pix in 2017 caused quite a stir, not only within the research community, but also the wider population. This can be attributed in part to the https://affinelayer.com/pixsrv/ website, which puts the models online and allows people to translate their sketches into cats, shoes, and bags. You should try it too! The following screenshot is taken from their website to give you a glimpse of how it works:

Figure 4.8 – Application of turning a sketch of a cat into a real image (Source: https://affinelayer.com/pixsrv/)

Pix2pix came from a research paper entitled Image-to-Image Translation with Conditional Adversarial Networks. From the paper title, we can tell that pix2pix is a conditional GAN that performs image-to-image translation. The model can be trained to perform general image translation, but we will need to have image pairs in the dataset. In our pix2pix implementation, we will translate masks of...

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