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Prenos slikarskega stila s pomočjo globokih nevronskih mrež na primeru del slovenskega impresionizma
ID Korenič Tratnik, Sebastian (Author), ID Rakita, Aljoša (Author), ID Solina, Franc (Author)

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Abstract
Uporaba računalniških metod v umetnosti je že uveljavljena, pri čemer področje postaja znova aktualno s hitrim razvojem umetne inteligence. V članku predstavljamo postopke računske estetike na primeru prenosa slikarskega stila. Osrednja tema in metodološka osnova za teoretično in praktično predstavitev je tehnologija globokih nevronskih mrež. Kot izhodišče za demonstracijo zajetja formalnih parametrov podobe in tvorjenja algoritma za računsko generiranje sloga nam služijo dela slovenskega impresionizma.

Language:Slovenian
Keywords:umetna inteligenca, slikarski stili, računska estetika, prenosi, globoke nevronske mreže, konvlucijske nevronske mreže, slovensko slikarstvo, slovenski impresionizem
Work type:Article
Typology:1.01 - Original Scientific Article
Organization:FRI - Faculty of Computer and Information Science
Publication status:Published
Publication version:Version of Record
Publication date:01.01.2019
Year:2019
Number of pages:Str. 14-26
Numbering:Št. 112
PID:20.500.12556/RUL-152324 This link opens in a new window
UDC:004.89:75(497.4)
ISSN on article:0352-7263
COBISS.SI-ID:1538489795 This link opens in a new window
Publication date in RUL:20.11.2023
Views:648
Downloads:57
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KORENIČ TRATNIK, Sebastian, RAKITA, Aljoša and SOLINA, Franc, 2019, Prenos slikarskega stila s pomočjo globokih nevronskih mrež na primeru del slovenskega impresionizma. Likovne besede : revija za likovno umetnost [online]. 2019. Vol. Št. 112, p. 14–26. [Accessed 11 April 2025]. Retrieved from: https://repozitorij.uni-lj.si/IzpisGradiva.php?lang=eng&id=152324
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Record is a part of a journal

Title:Likovne besede : revija za likovno umetnost
Shortened title:Likov. besede
Publisher:Zveza društev slovenskih likovnih umetnikov
ISSN:0352-7263
COBISS.SI-ID:16307458 This link opens in a new window

Secondary language

Language:English
Title:Transferring painting style through deep neural networks using the works of Slovenian impressionism as an example
Keywords:artificial intelligence, painting, computational aesthetics, style transfer, deep neural networks, convolutional neural networks, Slovene impressionism

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