Augmented Reality Enhanced Human-Computer Interaction and Aesthetic Experience in Product Design and Exhibition

This article explores the utilization of the Generative Adversarial Networks (GAN) in Wenchuang (cultural and creative) product design, presenting a novel design approach.To assess GAN's impact on Wenchuang product design, the StyleGAN model was carefully chosen for comprehensive experimental analysis.Through the comparative experiments with traditional GAN and CNN, it is found that StyleGAN has obvious advantages in finding the optimal solution, and the average time to reach the optimal solution is about 30% faster than the traditional method.At the same time, in the accuracy test, StyleGAN's performance is also remarkable, and its accuracy gradually improves with the increase of iteration times, and finally approaches 100%, which is obviously better than traditional GAN (about 85%) and CNN (about 75%).In addition, through the visualization technology of computer-aided design (CAD), the research results show the optimized product design of Wenchuang, whose 3D solid model is accurate and the mapping of materials and textures is realistic.To sum up, GAN, especially StyleGAN, with its high efficiency and accuracy, has brought remarkable improvement to the product design of Wenchuang, which indicates that it has great application potential in this field.