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Deep Learning for Computer Vision

You're reading from   Deep Learning for Computer Vision Expert techniques to train advanced neural networks using TensorFlow and Keras

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Product type Paperback
Published in Jan 2018
Publisher Packt
ISBN-13 9781788295628
Length 310 pages
Edition 1st Edition
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Author (1):
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Rajalingappaa Shanmugamani Rajalingappaa Shanmugamani
Author Profile Icon Rajalingappaa Shanmugamani
Rajalingappaa Shanmugamani
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Toc

Table of Contents (12) Chapters Close

Preface 1. Getting Started FREE CHAPTER 2. Image Classification 3. Image Retrieval 4. Object Detection 5. Semantic Segmentation 6. Similarity Learning 7. Image Captioning 8. Generative Models 9. Video Classification 10. Deployment 11. Other Books You May Enjoy

Applications of generative models


Let's start this chapter with the possible applications of generative models. The applications are enormous. We will see a few of these applications to understand the motivation and possibilities.

Artistic style transfer

Artistic style transfer is the process of transferring the style of art to any image. For example, an image can be created with the artistic style of an image and content of another image. An example of one image combined with several different styles is shown here illustrated by Gatys et al.  (https://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Gatys_Image_Style_Transfer_CVPR_2016_paper.pdf). The image A is the photo on which the style is applied, and the results are shown in other images:

Reproduced from Gatys et al.

This application has caught the public's attention, and there are several mobile apps in the market providing this facility. 

Predicting the next frame in a video 

Predicting future frames from synthetic video sets...

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