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

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