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

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

Abstract