Generating video game characters using StyleGAN2

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dc.authoridİsmail Ergen / 0000-0002-8847-7262
dc.authorscopusidİsmail Ergen / 58533348600
dc.authorwosidİsmail Ergen / CAF-0090-2022
dc.contributor.authorErgen, İsmail
dc.date.accessioned2025-04-18T07:18:25Z
dc.date.available2025-04-18T07:18:25Z
dc.date.issued3 Şubat 2023
dc.departmentİstinye Üniversitesi, Güzel Sanatlar, Mimarlık ve Tasarım Fakültesi, Dijital Oyun Tasarımı Bölümü
dc.description.abstractGANs have been getting better and better each year. The state of the art GAN models for generating 2D images have become so good it is hard to differentiate generated images nowadays. In this paper we create 3 different sparse data sets from video game assets and train them with StyleGAN2 to generate new artwork based on the previously existing artworks of the video game in question
dc.identifier.citationErgen, İ. (2023). Generating video game characters using StyleGAN2. Journal of Awareness, 8(1), 57-61.
dc.identifier.endpage65
dc.identifier.issue1
dc.identifier.startpage57
dc.identifier.urihttps://dergipark.org.tr/tr/pub/joa/issue/75807/1248909
dc.identifier.urihttps://hdl.handle.net/20.500.12713/6441
dc.identifier.volume8
dc.institutionauthorErgen, İsmail
dc.institutionauthoridİsmail Ergen / 0000-0002-8847-7262
dc.language.isoen
dc.publisherHolistence Publications
dc.relation.ispartofJournal Of Awareness
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectGenerative art
dc.subjectVideogame
dc.subjectStyleGAN
dc.titleGenerating video game characters using StyleGAN2
dc.typeArticle

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