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May 13, 2026International Journal of Arts and TechnologyOpen Access

Application of Style Transfer and Generative Art Based on Deep Learning in Personalized Artistic Creation

Haitao Pu Yuang Pu

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Key Points

The aim is to explore how deep learning methods can enhance personalized artistic creation and generative art.
Application of style transfer algorithms
Utilization of generative art techniques
Evaluation of user interaction and satisfaction
Significant improvement in artistic personalization reported
Increased engagement rates with generative art
Positive feedback on the variety of artistic styles created

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Implication

Explores deep learning techniques for personalized artistic creation, highlighting innovative artistic possibilities.

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Cite This Study

Pu et al. (2026) studied this question.

synapsesocial.com/papers/6a06b888e7dec685947ab058 https://doi.org/10.1504/ijart.2028.10078325

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