Infusing AI Art with Cultural Authenticity Through the Culture-Specific LoRA

摘要

This paper presents a novel culture-specific LoRA framework that enhances AI-generated art with authentic cultural representation, aiming to both preserve and promote cultural heritage. Grounded in the Cultural Iceberg Model, the proposed approach redefines the traditional LoRA pipeline by introducing image preprocessing step and leveraging Large Language Models for image tagging-enhancing the overall quality of the training dataset compared to generic LoRA. It also enhances the prompting process for image generation to produce more culturally authentic outputs. Additionally, artistic style transfer is applied to the resulting photorealistic imagery to enrich the visual narrative. Extensive experiments across three distinct cultural contexts-Tanka, Yi, and Inuit-supported by both quantitative and qualitative evaluations, demonstrate that our approach significantly improves cultural authenticity. This work underscores the potential of AI to safeguard and revitalize cultural heritage through generative art.