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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Autores principales: | , |
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Formato: | article |
Lenguaje: | EN |
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Hindawi-Wiley
2021
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Acceso en línea: | https://doaj.org/article/4a1e872870044b34a1b3e84146d74a9e |
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