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Hands-On Image Generation with TensorFlow

You're reading from Hands-On Image Generation with TensorFlow

Product type Book

Published in Dec 2020

Publisher Packt

ISBN-13 9781838826789

Pages 306 pages

Edition 1st Edition

Languages

Concepts

Computer Vision

Author (1):

Soon Yau Cheong

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

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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Improving style transfer

The research community and industry were excited about neural style transfer and wasted no time in putting it to use. Some set up websites to allow users to upload photos to perform style transfer, while some used that to create merchandise to sell. Then people realized some of the shortcomings of the original neural style transfer and worked to improve it.

One of the biggest limitations is that style transfer takes all the style information, including the color and brush strokes of the entire style image, and transfers it to the whole of the content image. Using the examples that we just did in the previous section, the blueish color from the style image was transferred into both the building and background. Wouldn't it be nice if we had the choice to transfer only the brush stroke but not the color, and just to the preferred regions?

The lead author of neural style transfer and his team produced a new algorithm to address these issues. The following...

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Authors (1)

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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