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Title: Evaluation of Art Style Using AI and Psychological Experiments
Authors: Hung, Mai Cong
Nakatsu, Ryohei
Tosa, Naoko  kyouindb  KAKEN_id
Kusumi, Takashi
Author's alias: 中津, 良平
土佐, 尚子
楠見, 孝
Keywords: Cycle GAN
art style
psychological evaluation
Issue Date: Dec-2020
Publisher: Asia Digital Art and Design Association
Journal title: Proceedings of ADADA2020
Thesis number: 1A_1
Abstract: GANs (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.
Description: [ADADA+CUMULUS 2020 (International Conference for Asia Digital Art and Design 2020)] Fully Virtual Conference, 2020/12/14-16.
Rights: © Authors.
This 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。
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