ARTIFICIAL INTELLIGENCE AND ART: THE CONCEPTUAL MODEL OF GENERATIVE ADVERSARIAL NETWORKS IN THE CREATIVE PROCESS OF ART FOR DIGITAL GAMES

Detalhes bibliográficos
Autor(a) principal: Valentim, Jefferson
Data de Publicação: 2024
Outros Autores: Bezerra, Ed Porto
Tipo de documento: Artigo
Idioma: por
Título da fonte: Revista GEMInIS
Texto Completo: https://www.revistageminis.ufscar.br/index.php/geminis/article/view/816
Resumo: The interaction between artificial intelligence (AI) and art has emerged as a promising field within the contemporary creative process. In this article, we explored how the generative adversarial networks (GAN) model could assist in the creation of two-dimensional (2D) assets for digital game artists. To achieve this aim, we conducted a review of the literature and a case study with 2D assets from the Axie Infinity game. Through the research, it was discovered that the model synthesized new images that aligned with the characteristics and features similar to the dataset used in the model's training. This suggests that GANs can be employed to inspire new assets, produce novel images, and be directly integrated into digital games.
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spelling ARTIFICIAL INTELLIGENCE AND ART: THE CONCEPTUAL MODEL OF GENERATIVE ADVERSARIAL NETWORKS IN THE CREATIVE PROCESS OF ART FOR DIGITAL GAMESINTELIGENCIA ARTIFICIAL Y ARTE: EL MODELO CONCEPTUAL DE REDES ADVERSARIAS GENERATIVAS EN EL PROCESO CREATIVO DE ARTE PARA JUEGOS DIGITALESINTELIGÊNCIA ARTIFICIAL E ARTE: O MODELO CONCEITUAL DE REDES ADVERSÁRIAS GENERATIVAS NO PROCESSO CRIATIVO DE ARTE PARA JOGOS DIGITAISInteligência artificialjogos digitaisarteInteligencia artificialjuegos digitalesarteArtificial intelligencedigital gamesartThe interaction between artificial intelligence (AI) and art has emerged as a promising field within the contemporary creative process. In this article, we explored how the generative adversarial networks (GAN) model could assist in the creation of two-dimensional (2D) assets for digital game artists. To achieve this aim, we conducted a review of the literature and a case study with 2D assets from the Axie Infinity game. Through the research, it was discovered that the model synthesized new images that aligned with the characteristics and features similar to the dataset used in the model's training. This suggests that GANs can be employed to inspire new assets, produce novel images, and be directly integrated into digital games.La interacción entre la inteligencia artificial (IA) y el arte se ha mostrado como un campo prometedor en el contexto del proceso creativo contemporáneo. En este artículo, exploramos cómo el modelo de redes generativas adversarias (GAN) podría contribuir en la construcción de assets en dos dimensiones (2D) para artistas de juegos digitales. Para alcanzar este objetivo, se realizó una revisión de la literatura y un estudio de caso con assets 2D del juego Axie Infinity. A través de la investigación, descubrimos que el modelo sintetizaba nuevas imágenes que coincidían con las características y rasgos similares al conjunto de datos utilizado en el entrenamiento del modelo. Esto indica que las GANs pueden ser usadas para inspirar nuevos assets, crear nuevas imágenes y ser aplicadas directamente en juegos digitales.A interação entre a Inteligência Artificial (IA) e a arte mostrou-se uma área promissora no contexto do processo criativo contemporâneo. Neste artigo, explorou-se como o modelo de redes adversárias generativas (GAN) poderia contribuir na construção de assets em duas dimensões (2D) para artistas de jogos digitais. Para atingir esse objetivo, realizou-se uma revisão da literatura e um estudo de caso com assets 2D do jogo Axie Infinity. Descobriu-se, por meio da pesquisa, que o modelo sintetizava novas imagens que se situavam nas características e traços similares aos do grupo de dados usado no treinamento do modelo. Isso significa que as GANs podem ser utilizadas para inspirar novos assets, criar novas imagens e serem aplicadas diretamente nos jogos digitais.UFSCar2024-05-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://www.revistageminis.ufscar.br/index.php/geminis/article/view/81610.14244/2179-1465.RG.2024v15i1p115-138Revista GEMInIS; v. 15 n. 1 (2024): Narrativas de IA: tendências da produção audiovisual - Parte 2; 115-138Revista GEMInIS; Vol. 15 No. 1 (2024): AI narratives: trends in audiovisual production - Part 2; 115-138Revista GEMInIS; Vol. 15 Núm. 1 (2024): Narrativas de IA: tendencias en la producción audiovisual - Parte 2; 115-1382179-1465reponame:Revista GEMInISinstname:Universidade Federal de São Carlos (UFSCAR)instacron:UFSCARporhttps://www.revistageminis.ufscar.br/index.php/geminis/article/view/816/542Copyright (c) 2024 Jefferson Valentim, Ed Porto Bezerrahttp://creativecommons.org/licenses/by-sa/4.0info:eu-repo/semantics/openAccessValentim, JeffersonBezerra, Ed Porto 2024-05-06T01:35:12Zoai:ojs.pkp.sfu.ca:article/816Revistahttps://www.revistageminis.ufscar.br/index.php/geminisPUBhttps://www.revistageminis.ufscar.br/index.php/geminis/oai||revista.geminisufscar@gmail.com2179-14652179-1465opendoar:2024-05-06T01:35:12Revista GEMInIS - Universidade Federal de São Carlos (UFSCAR)false
dc.title.none.fl_str_mv ARTIFICIAL INTELLIGENCE AND ART: THE CONCEPTUAL MODEL OF GENERATIVE ADVERSARIAL NETWORKS IN THE CREATIVE PROCESS OF ART FOR DIGITAL GAMES
INTELIGENCIA ARTIFICIAL Y ARTE: EL MODELO CONCEPTUAL DE REDES ADVERSARIAS GENERATIVAS EN EL PROCESO CREATIVO DE ARTE PARA JUEGOS DIGITALES
INTELIGÊNCIA ARTIFICIAL E ARTE: O MODELO CONCEITUAL DE REDES ADVERSÁRIAS GENERATIVAS NO PROCESSO CRIATIVO DE ARTE PARA JOGOS DIGITAIS
title ARTIFICIAL INTELLIGENCE AND ART: THE CONCEPTUAL MODEL OF GENERATIVE ADVERSARIAL NETWORKS IN THE CREATIVE PROCESS OF ART FOR DIGITAL GAMES
spellingShingle ARTIFICIAL INTELLIGENCE AND ART: THE CONCEPTUAL MODEL OF GENERATIVE ADVERSARIAL NETWORKS IN THE CREATIVE PROCESS OF ART FOR DIGITAL GAMES
Valentim, Jefferson
Inteligência artificial
jogos digitais
arte
Inteligencia artificial
juegos digitales
arte
Artificial intelligence
digital games
art
title_short ARTIFICIAL INTELLIGENCE AND ART: THE CONCEPTUAL MODEL OF GENERATIVE ADVERSARIAL NETWORKS IN THE CREATIVE PROCESS OF ART FOR DIGITAL GAMES
title_full ARTIFICIAL INTELLIGENCE AND ART: THE CONCEPTUAL MODEL OF GENERATIVE ADVERSARIAL NETWORKS IN THE CREATIVE PROCESS OF ART FOR DIGITAL GAMES
title_fullStr ARTIFICIAL INTELLIGENCE AND ART: THE CONCEPTUAL MODEL OF GENERATIVE ADVERSARIAL NETWORKS IN THE CREATIVE PROCESS OF ART FOR DIGITAL GAMES
title_full_unstemmed ARTIFICIAL INTELLIGENCE AND ART: THE CONCEPTUAL MODEL OF GENERATIVE ADVERSARIAL NETWORKS IN THE CREATIVE PROCESS OF ART FOR DIGITAL GAMES
title_sort ARTIFICIAL INTELLIGENCE AND ART: THE CONCEPTUAL MODEL OF GENERATIVE ADVERSARIAL NETWORKS IN THE CREATIVE PROCESS OF ART FOR DIGITAL GAMES
author Valentim, Jefferson
author_facet Valentim, Jefferson
Bezerra, Ed Porto
author_role author
author2 Bezerra, Ed Porto
author2_role author
dc.contributor.author.fl_str_mv Valentim, Jefferson
Bezerra, Ed Porto
dc.subject.por.fl_str_mv Inteligência artificial
jogos digitais
arte
Inteligencia artificial
juegos digitales
arte
Artificial intelligence
digital games
art
topic Inteligência artificial
jogos digitais
arte
Inteligencia artificial
juegos digitales
arte
Artificial intelligence
digital games
art
description The interaction between artificial intelligence (AI) and art has emerged as a promising field within the contemporary creative process. In this article, we explored how the generative adversarial networks (GAN) model could assist in the creation of two-dimensional (2D) assets for digital game artists. To achieve this aim, we conducted a review of the literature and a case study with 2D assets from the Axie Infinity game. Through the research, it was discovered that the model synthesized new images that aligned with the characteristics and features similar to the dataset used in the model's training. This suggests that GANs can be employed to inspire new assets, produce novel images, and be directly integrated into digital games.
publishDate 2024
dc.date.none.fl_str_mv 2024-05-06
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://www.revistageminis.ufscar.br/index.php/geminis/article/view/816
10.14244/2179-1465.RG.2024v15i1p115-138
url https://www.revistageminis.ufscar.br/index.php/geminis/article/view/816
identifier_str_mv 10.14244/2179-1465.RG.2024v15i1p115-138
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://www.revistageminis.ufscar.br/index.php/geminis/article/view/816/542
dc.rights.driver.fl_str_mv Copyright (c) 2024 Jefferson Valentim, Ed Porto Bezerra
http://creativecommons.org/licenses/by-sa/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2024 Jefferson Valentim, Ed Porto Bezerra
http://creativecommons.org/licenses/by-sa/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv UFSCar
publisher.none.fl_str_mv UFSCar
dc.source.none.fl_str_mv Revista GEMInIS; v. 15 n. 1 (2024): Narrativas de IA: tendências da produção audiovisual - Parte 2; 115-138
Revista GEMInIS; Vol. 15 No. 1 (2024): AI narratives: trends in audiovisual production - Part 2; 115-138
Revista GEMInIS; Vol. 15 Núm. 1 (2024): Narrativas de IA: tendencias en la producción audiovisual - Parte 2; 115-138
2179-1465
reponame:Revista GEMInIS
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instacron_str UFSCAR
institution UFSCAR
reponame_str Revista GEMInIS
collection Revista GEMInIS
repository.name.fl_str_mv Revista GEMInIS - Universidade Federal de São Carlos (UFSCAR)
repository.mail.fl_str_mv ||revista.geminisufscar@gmail.com
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