An Empirical Study on the Artificial Intelligence-Aided Quantitative Design of Art Images

This paper presents an indepth analysis and research on the quantitative design of fine art images through artificial intelligence algorithms. A CycleGAN-based network model for automatic generation of sketches of fine art images is constructed to extract the edge and contour features of fine art im...

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Auteurs principaux: Wen Zhang, Sang-Bing Tsai
Format: article
Langue:EN
Publié: Hindawi-Wiley 2021
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Accès en ligne:https://doaj.org/article/4a1e872870044b34a1b3e84146d74a9e
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