Pattern Derivative Design of Black Copper Infused with Silver Using AI-based Pattern Generation and Image Style Transfer Algorithm

This work aims to explore the innovative fusion of image style transfer technology and pattern derivative design, and seek new avenues for the integration of Artificial Intelligence (AI) technology with China's intangible cultural heritage. The batch processing and high efficiency characteristics of AI technology are adopted and derivative design is taken as a medium to effectively disseminate black copper patterns infused with silver. Generative Adversarial Network (GAN) models from deep learning are employed and tuned with appropriate parameters. The deep learning framework realizes the generation of black copper patterns infused with silver. Furthermore, by incorporating image style transfer algorithms, novel pattern aesthetics are designed while preserving the distinctive features of black copper patterns infused with silver. Expert assessments through questionnaire responses reveal that the average rating for the visual aesthetics of the images is 4 points, with a high score of 4.08 for style simulation effectiveness, and a presentation rating of 3.67 for Yunnan's cultural connotation. Expert reviews show approval for the migration results in the experiment, as the transferred pattern designs satisfy aesthetic preferences and meet the standards for simulating different styles. This work provides valuable insights for the preservation and inheritance of black copper patterns infused with silver, as well as for promoting their diversified applications.