Beyond Photorealism: An AIGC-Powered Framework for Stylized and Gamified Cultural Heritage Revitalization

The protection and dissemination of cultural heritage in the digital age are confronted with dual problems of fragmented cultural narratives and insufficient public participation, which have now become a major bottleneck in realizing the value of cultural heritage. The rise of artificial intelligence technology nowadays offers an unprecedented opportunity to address this challenge. This study proposes a framework that combines artificial intelligence to tackle this issue, using the UNESCO World Heritage site, Kaiping Diaolou, as a case study. The methodology integrates AIGC tools such as Stable Diffusion and GPT-4 with traditional 3D modeling and digital twin technologies, aiming to go beyond traditional “photorealistic” replication by creating ink-wash stylized models with cultural resonance and artistic expressiveness, while providing immersive gamified experiences in virtual and augmented reality environments. A mixed-methods evaluation combining ratings from 6 experts and surveys from 122 participants confirms that the framework significantly improves work efficiency—modeling time is reduced from several hours to an average of 48 min, with a 60% increase in efficiency. More importantly, the gamified narrative generated by AI received a high engagement score of 4.2 (out of 5.0) among the 18 to 25 age group. The study also reveals a significant digital divide: users over 36 years old rated usability 35% lower than younger participants. The framework effectively lowers the technological threshold, allowing non-expert users to meet 70% of usability standards after brief training. This study ultimately validates an innovative framework that combines scalability and efficiency, offering an empirically tested practical solution for the deep, sustainable revitalization and public engagement of cultural heritage.