ABSTRACT
Generative AI technologies bring new opportunities for the preservation, restoration, and dissemination of cultural heritage. Focusing on Chinese bronze vessels as a case study, this chapter investigates the transformative potential of generative AI in intelligent image generation and its innovative application within cultural heritage domain. A domain ontology for Chinese bronze vessels is constructed to enable muti-dimensional semantic representation of bronze vessel images. A human-AI collaborative semantic annotation method, enhanced by large language models, is proposed to improve the efficiency of semantic annotation. Furthermore, by leveraging the LoRA algorithm to fine-tune the Stable Diffusion model, this study achieves high-quality and style-consistent image generation of Chinese bronze vessels. The fine-tuned model significantly enhances both the visual quality and text-image alignment of generated content, offering new tools and technical pathways for artifact preservation, restoration, and cultural communication. Finally, this chapter discussed the underlying logic and implementation pathways of AI-driven intelligent image computing, and highlighting their role in facilitating the digital recreation and revitalisation of cultural heritage. Generative AI not only strengthens the semantic understanding and computational analysis of cultural artifacts, but also facilitates the development of smart data resources for cultural heritage, thereby advancing the innovative reuse and revitalisation of cultural heritage.
