Self-Relevance Predicts the Aesthetic Appeal of Real and Synthetic Artworks Generated via Neural Style Transfer.

Vessel, Edward A; Pasqualette, Laura; Uran, Cem; Koldehoff, Sarah; Bignardi, Giacomo; Vinck, Martin

Vessel, Edward A; Pasqualette, Laura; Uran, Cem; Koldehoff, Sarah; Bignardi, Giacomo; Vinck, Martin.

Afiliação

Vessel EA; Department of Neuroscience, Max Planck Institute for Empirical Aesthetics.
Pasqualette L; Neurocognitive Developmental Psychology, Friedrich-Alexander University Erlangen-Nürnberg.
Uran C; Ernst Strüngmann Institute.
Koldehoff S; Department of Neurophysics, Donders Centre for Neuroscience.
Bignardi G; Department of Neuroscience, Max Planck Institute for Empirical Aesthetics.
Vinck M; Department of Language and Genetics, Max Planck Institute for Psycholinguistics.

Psychol Sci ; 34(9): 1007-1023, 2023 09.

Article em En | MEDLINE | ID: mdl-37578091

Assuntos

Arte; Adulto; Humanos; Estética

Palavras-chave

aesthetic valuation; artwork; identity; machine learning; open data

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Arte Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo

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PubMed Links

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Arte Idioma: En Ano de publicação: 2023 Tipo de documento: Article