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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

Product type Paperback

Published in Dec 2020

Publisher Packt

ISBN-13 9781838826789

Length 306 pages

Edition 1st Edition

Languages

Python

Tools

TensorFlow

Concepts

Computer Vision

Author (1):

Soon Yau Cheong

View More author details

Table of Contents (15) Chapters

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

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Diversifying translation with BicyleGAN

Both Pix2pix and CycleGAN came from the Berkeley AI Research (BAIR) laboratory at UC Berkeley. They are popular and have a number of tutorials and blogs about them online, including on the official TensorFlow site. BicycleGAN is what I see as the last of the image-to-image translation trilogy from that research group. However, you don't find a lot of example code online, perhaps due to its complexity.

In order to build the most advanced network in this book up to this point, we will throw in all the knowledge you have acquired in this chapter, plus the last two chapters. Maybe that is why it is regarded as advanced by many. Don't worry; you already have all the prerequisite knowledge. Let's jump in!

Understanding architecture

Before jumping straight into implementation, let me give you an overview of BicycleGAN. From the name, you may naturally think that BicycleGAN is an upgrade of CycleGAN by adding another cycle (from...

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Authors (1)

Soon Yau Cheong

Soon Yau Cheong

Soon Yau Cheong is an AI consultant and the founder of Sooner.ai Ltd. With a history of being associated with industry giants such as NVIDIA and Qualcomm, he provides consultation in the various domains of AI, such as deep learning, computer vision, natural language processing, and big data analytics. He was awarded a full scholarship to study for his PhD at the University of Bristol while working as a teaching assistant. He is also a mentor for AI courses with Udacity.

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