Faced with the challenges of high cost, long cycle and insufficient innovation in traditional art design, this paper devotes itself to developing an integrated solution of intelligent generation and interactive display.By building a knowledge-enhanced multi-view diffusion interaction model (KEMDIM), this solution effectively integrates domain knowledge graphs to enhance semantic understanding, multi-view diffusion generation to ensure geometric consistency, and metaverse dynamic rendering technology to support real-time interaction.The verification of this method on data sets such as WikiArt shows that the generation quality FID index of this method is reduced to 12.1 (an increase of 19.7%), the PSNR reaches 34.8, the user experience satisfaction score is 4.6 points, and the multi-view alignment error is reduced by 32%.The results show that the framework significantly improves the accuracy and immersion of digital generation of traditional art.Although it has limitations such as relying on the completeness of knowledge base and high demand for computing resources, it provides a new technology path for intelligent protection and innovative design of cultural heritage, and its multi-modal fusion mechanism and scalability have important practical value in promoting the development of AI-empowered traditional processes.
Panpan Yun (Thu,) studied this question.