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Generative Adversarial Networks Projects

You're reading from  Generative Adversarial Networks Projects

Product type Book
Published in Jan 2019
Publisher Packt
ISBN-13 9781789136678
Pages 316 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Kailash Ahirwar Kailash Ahirwar
Profile icon Kailash Ahirwar
LinkedIn
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.
See other products by Kailash Ahirwar

Table of Contents (11) Chapters

Preface 1. Introduction to Generative Adversarial Networks 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

Practical applications of CycleGANs

There are many applications of CycleGANs. In this chapter, we have used a CycleGAN to turn paintings into photos. They can also be used in the following cases:

  • Style transfer: For example, turning photos into paintings and vice versa, turning pictures of horses into zebras and vice versa, and turning pictures of oranges into pictures of apples and vice versa
  • Photo enhancement: CycleGANs can be used to enhance the quality of pictures
  • Season transfer: For example, turning a picture of winter into a picture of summer and vice versa
  • Game style transfer: CycleGANs can be used to transfer the style of Game A to Game B
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Authors (1)

Profile icon Kailash Ahirwar
LinkedIn
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.
See other products by Kailash Ahirwar

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