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Applying deep learning for style transfer in digital art: enhancing creative expression through neural networks.

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第一作者： Shijun,Zhang

第一单位： Art Museum, Luxun Academy of Fine Arts, Shenyang, 110004, Liaoning, China.

作者： Shijun,Zhang ^[1] ; Yanling,Qi ^[1] ; Jingqi,Wu ^[2]

作者单位： Art Museum, Luxun Academy of Fine Arts, Shenyang, 110004, Liaoning, China. ^[1] Editorial Department, Luxun Academy of Fine Arts, Shenyang, 110004, Liaoning, China. leimiart@163.com. ^[2]

关键词 Adaptive instance normalization Computational efficiency Content preservation Convolutional neural networks Digital art Gram matrix Image synthesis Neural style transfer Real-time applications Style fidelity

DOI 10.1038/s41598-025-95819-9

PMID 40189651

发布时间 2025-04-09

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Applying deep learning for style transfer in digital art: enhancing creative expression through neural networks.

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