ARTIFICIAL INTELLIGENCE AND ART: THE CONCEPTUAL MODEL OF GENERATIVE ADVERSARIAL NETWORKS IN THE CREATIVE PROCESS OF ART FOR DIGITAL GAMES
Autor(a) principal: | |
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Data de Publicação: | 2024 |
Outros Autores: | |
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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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 instname:Universidade Federal de São Carlos (UFSCAR) instacron:UFSCAR |
instname_str |
Universidade Federal de São Carlos (UFSCAR) |
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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