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Neural Computing and Applications
Erschienen in: Neural Computing and Applications 1/2021

12.01.2021 | S. I : Neural Networks in Art, sound and Design

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

verfasst von: Iria Santos, Luz Castro, Nereida Rodriguez-Fernandez, Álvaro Torrente-Patiño, Adrián Carballal

Erschienen in: Neural Computing and Applications | Ausgabe 1/2021

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Abstract

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.
Vorheriger Artikel Minimal neural network topology optimization for aesthetic classification
Nächster Artikel Analysis of hydraulic conductivity of fractured groundwater flow media using artificial neural network back propagation

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Metadaten
Titel
Artificial Neural Networks and Deep Learning in the Visual Arts: a review
verfasst von
Iria Santos
Luz Castro
Nereida Rodriguez-Fernandez
Álvaro Torrente-Patiño
Adrián Carballal
Publikationsdatum
12.01.2021
Verlag
Springer London
Erschienen in
Neural Computing and Applications / Ausgabe 1/2021
Print ISSN: 0941-0643
Elektronische ISSN: 1433-3058
DOI
https://doi.org/10.1007/s00521-020-05565-4

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