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March 13, 2026International Journal of Arts and Technology0 citations

Application of Deep Learning Algorithms in the Transfer of Ethnic and Folk Art Design Styles in Cultural and Creative Products

WGWanli Gu

Key Points

  • The study aims to examine how deep learning algorithms can effectively transfer ethnic and folk art design styles into cultural products.
  • Exploration of deep learning algorithms related to art design transfer.
  • Analysis of cultural and creative products incorporating ethnic and folk art styles.
  • Evaluation of design effectiveness in transferring artistic styles.
  • Demonstrates successful application of deep learning in design style transfer.
  • Indicates increased aesthetic value in cultural products through technology.
  • Finds potential for broader creative applications in cultural industries.

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

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Cite This Study

Wanli Gu (2026) studied this question.

synapsesocial.com/papers/69b3ab5e02a1e69014ccc295https://doi.org/10.1504/ijart.2027.10076929
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