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ADADA2020_1A_1.pdf701.67 kBAdobe PDF見る/開く
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dc.contributor.authorHung, Mai Congen
dc.contributor.authorNakatsu, Ryoheien
dc.contributor.authorTosa, Naokoen
dc.contributor.authorKusumi, Takashien
dc.contributor.alternative中津, 良平ja
dc.contributor.alternative土佐, 尚子ja
dc.contributor.alternative楠見, 孝ja
dc.date.accessioned2021-11-02T07:42:09Z-
dc.date.available2021-11-02T07:42:09Z-
dc.date.issued2020-12-
dc.identifier.urihttp://hdl.handle.net/2433/265845-
dc.description[ADADA+CUMULUS 2020 (International Conference for Asia Digital Art and Design 2020)] Fully Virtual Conference, 2020/12/14-16.en
dc.description.abstractGANs (Generative adversarial networks) is a new AI technology that has the capability of achieving transformation between two image sets. Using GANs we have carried out a comparison among several art sets with different art styles. We have prepared four image sets; a flower image set with Impressionism art style, one with the Western abstract art style, one with Chinese figurative art style, and one with the art style of Naoko Tosa, one of the authors. Using these four sets we have carried out a psychological experiment to evaluate the difference between these four sets. We have found that abstract drawings and figurative drawings are judged to be different, figurative drawings in West and East were judged to be similar, and Naoko Tosa’s artworks are similar to the Western abstract artworks.en
dc.language.isoeng-
dc.publisherAsia Digital Art and Design Associationen
dc.rights© Authors.en
dc.rightsThis is not the published version. Please cite only the published version. この論文は出版社版でありません。引用の際には出版社版をご確認ご利用ください。en
dc.subjectCycle GANen
dc.subjectart styleen
dc.subjectpsychological evaluationen
dc.titleEvaluation of Art Style Using AI and Psychological Experimentsen
dc.typeconference paper-
dc.type.niitypeConference Paper-
dc.identifier.jtitleProceedings of ADADA2020en
dc.textversionauthor-
dc.identifier.artnum1A_1-
dc.addressKyoto Universityen
dc.addressKyoto Universityen
dc.addressKyoto Universityen
dc.addressKyoto Universityen
dc.relation.urlhttp://adada.info/2020/-
dcterms.accessRightsopen access-
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