Real-World Applications

Sanaa Kaddoura, Zayed University

Document Type

Article

Source of Publication

SpringerBriefs in Computer Science

Publication Date

1-1-2023

Abstract

This chapter explores the practical applications of GANs in the real world. As previously discussed, GANs are deep neural networks capable of generating new data resembling a target distribution, such as images and audio signals. GANs have garnered much attention in machine learning in recent years due to their versatile usage across various industries. This chapter will delve into the various ways in which GANs have been employed in real-world applications. They include but are not limited to the generation of synthetic data for training machine learning models, the creation of photorealistic images and videos, the generation of human faces, the production of fake videos, image-to-image translation, text-to-image translation, CycleGAN, enhancement of image resolution, semantic image inpainting, and text-to-speech. A comprehensive overview of the exciting possibilities of GANs and their impact on various industries will be provided. By the end of the chapter, the reader will clearly understand the practical applications of GANs and their potential to shape the future.

ISSN

2191-5768

Publisher

Springer International Publishing

Volume

Part F822

First Page

27

Last Page

81

Disciplines

Computer Sciences

Keywords

CycleGAN, Data collection, Data preparation, Deep fake, Face generation, GANs applications, Hyperparameter tuning, Image enhancement, Image-to-image translation, Semantic image inpainting, Text to image, Training

Scopus ID

85164659665

Indexed in Scopus

yes

Open Access

no

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