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Generative Adversarial Networks Projects

You're reading from Generative Adversarial Networks Projects Build next-generation generative models using TensorFlow and Keras

Product type Paperback

Published in Jan 2019

Publisher Packt

ISBN-13 9781789136678

Length 316 pages

Edition 1st Edition

Languages

Python

Tools

Keras

Concepts

Deep Learning

Author (1):

Kailash Ahirwar

View More author details

Table of Contents (11) Chapters

Preface

1. Introduction to Generative Adversarial Networks FREE CHAPTER

2. 3D-GAN - Generating Shapes Using GANs

3. Face Aging Using Conditional GAN

4. Generating Anime Characters Using DCGANs

5. Using SRGANs to Generate Photo-Realistic Images

6. StackGAN - Text to Photo-Realistic Image Synthesis

7. CycleGAN - Turn Paintings into Photos

8. Conditional GAN - Image-to-Image Translation Using Conditional Adversarial Networks

9. Predicting the Future of GANs

10. Other Books You May Enjoy

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Practical applications of StackGAN

The industry applications of a StackGAN include the following:

Generating high-resolution images automatically for entertainment purposes or educational purposes
Creating comics: With the use of a StackGAN, the process of creating comics can be reduced to days as the StackGAN can generate comics automatically and assist in the creative process
Movie creation: A StackGAN can assist a movie creator by generating frames from text descriptions
Art creation: A StackGAN can assist an artist by generating sketches from text descriptions

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Authors (1)

Ahirwar

Ahirwar

Kailash Ahirwar is a machine learning and deep learning enthusiast. He has worked in many areas of Artificial Intelligence (AI), ranging from natural language processing and computer vision to generative modeling using GANs. He is a co-founder and CTO of Mate Labs. He uses GANs to build different models, such as turning paintings into photos and controlling deep image synthesis with texture patches. He is super optimistic about AGI and believes that AI is going to be the workhorse of human evolution.

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