You're reading from Advanced Deep Learning with Keras

Product typeBook

Published inOct 2018

Reading LevelIntermediate

PublisherPackt

ISBN-139781788629416

Edition1st Edition

Languages

Python

Tools

Keras TensorFlow

Concepts

Deep Learning

Author (1)

Rowel Atienza

Principles of CycleGAN

Figure 7.1.1: Example of aligned image pair: left, original image and right, transformed image using a Canny edge detector. Original photos were taken by the author.

Translating an image from one domain to another is a common task in computer vision, computer graphics, and image processing. The preceding figure shows edge detection which is a common image translation task. In this example, we can consider the real photo (left) as an image in the source domain and the edge detected photo (right) as a sample in the target domain. There are many other cross-domain translation procedures that have practical applications such as:

Satellite image to map
Face image to emoji, caricature or anime
Body image to the avatar
Colorization of grayscale photos
Medical scan to a real photo
Real photo to an artist's painting

There are many more examples of this in different fields. In computer vision and image processing, for example, we can perform the translation by inventing an algorithm...

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Advanced Deep Learning with Keras

Published in: Oct 2018Publisher: PacktISBN-13: 9781788629416

Author (1)

Rowel Atienza

Rowel Atienza is an Associate Professor at the Electrical and Electronics Engineering Institute of the University of the Philippines, Diliman. He holds the Dado and Maria Banatao Institute Professorial Chair in Artificial Intelligence. Rowel has been fascinated with intelligent robots since he graduated from the University of the Philippines. He received his MEng from the National University of Singapore for his work on an AI-enhanced four-legged robot. He finished his Ph.D. at The Australian National University for his contribution on the field of active gaze tracking for human-robot interaction. Rowel's current research work focuses on AI and computer vision. He dreams on building useful machines that can perceive, understand, and reason. To help make his dreams become real, Rowel has been supported by grants from the Department of Science and Technology (DOST), Samsung Research Philippines, and Commission on Higher Education-Philippine California Advanced Research Institutes (CHED-PCARI).
Read more about Rowel Atienza

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Principles of CycleGAN

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Author (1)

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