Artificial Neural Networks and Deep Learning in the Visual Arts: a review

In this article, we perform an exhaustive analysis of the use of Artificial Neural Networks and Deep Learning in the Visual Arts. We begin by introducing changes in Artificial Intelligence over the years and examine in depth the latest work carried out in prediction, classification, evaluation, gene...

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Bibliographic Details
Published in:Neural computing & applications 2021, Vol.33 (1), p.121-157
Main Authors: Santos, Iria, Castro, Luz, Rodriguez-Fernandez, Nereida, Torrente-Patiño, Álvaro, Carballal, Adrián
Format: Article
Language:English
Subjects:
Artificial Intelligence
Artificial neural networks
Comics
Computational Biology/Bioinformatics
Computational Science and Engineering
Computer & video games
Computer Science
Data Mining and Knowledge Discovery
Deep learning
Image Processing and Computer Vision
Machine learning
Neural networks
Probability and Statistics in Computer Science
S. I : Neural Networks in Art
sound and Design
Three dimensional models
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Summary:In this article, we perform an exhaustive analysis of the use of Artificial Neural Networks and Deep Learning in the Visual Arts. We begin by introducing changes in Artificial Intelligence over the years and examine in depth the latest work carried out in prediction, classification, evaluation, generation, and identification through Artificial Neural Networks for the different Visual Arts. While we highlight the contributions of photography and pictorial art, there are also other uses for 3D modeling, including video games, architecture, and comics. The results of the investigations discussed show that the use of Artificial Neural Networks in the Visual Arts continues to evolve and have recently experienced significant growth. To complement the text, we include a glossary and table with information about the most commonly employed image datasets.
ISSN:0941-0643
1433-3058
DOI:10.1007/s00521-020-05565-4