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Artificial Neural Networks and Deep Learning in the Visual Arts: a review
by
Torrente-Patiño, Álvaro
, Castro, Luz
, Carballal, Adrián
, Santos, Iria
, Rodriguez-Fernandez, Nereida
in
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
2021
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Artificial Neural Networks and Deep Learning in the Visual Arts: a review
by
Torrente-Patiño, Álvaro
, Castro, Luz
, Carballal, Adrián
, Santos, Iria
, Rodriguez-Fernandez, Nereida
in
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
2021
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Do you wish to request the book?
Artificial Neural Networks and Deep Learning in the Visual Arts: a review
by
Torrente-Patiño, Álvaro
, Castro, Luz
, Carballal, Adrián
, Santos, Iria
, Rodriguez-Fernandez, Nereida
in
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
2021
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Artificial Neural Networks and Deep Learning in the Visual Arts: a review
Journal Article
Artificial Neural Networks and Deep Learning in the Visual Arts: a review
2021
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Overview
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.
Publisher
Springer London,Springer Nature B.V
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