An AIGC-Driven Methodological Framework for Authenticity-Oriented Digital Reconstruction of Historic Buildings: A Case Study of Xiangxian Hall in Lanxi, Zhejiang
Historic buildings are important carriers of traditional Chinese culture; however, they currently face the dual challenges of long-term deterioration and inappropriate interventions. In Zhejiang Province, more than 75,000 immovable cultural heritage sites have been incorporated into the protection system, while a large number of historic buildings remain in urgent need of conservation. In response to the complexity of conventional digital reconstruction processes and the low efficiency of authenticity-oriented restoration, this study proposes an AI-generated content (AIGC)-driven Methodological Framework for efficient and authenticity-oriented digital reconstruction of historic buildings. Taking Xiangxian Hall in Changle Village, Lanxi, Zhejiang, as a case study, this research follows authenticity-oriented criteria, including accurate morphological characteristics, realistic materials and textures, realistic color and light–shadow effects representation, precise proportion and scale, and comprehensive historical and cultural representation. Based on these criteria, a systematic evaluation framework for authenticity-oriented digital reconstruction is established. Furthermore, an AIGC-driven full-process Methodological Framework is proposed that integrates intelligent knowledge retrieval, cross-modal generation models, AI-assisted image-based 3D reconstruction, and inverse rendering. The results demonstrate that the proposed approach, supported by AIGC technologies, can deeply integrate multi-source information, including field investigation data, the existing conditions of historic buildings, and historical and cultural context, thereby achieving efficient and authenticity-oriented digital reconstruction of historic buildings. Furthermore, it provides an integrated technical pathway and practical solution for the conservation and digital inheritance of historic buildings.
Authors
- Tao Chen (ORCID: https://orcid.org/0009-0001-8662-0563)
- Pan Kexin
- Meng Sun (ORCID: https://orcid.org/0009-0002-7751-3683)
- Yanying Liang
- Xu An
Institutions
- Zhejiang Normal University (CN)
- Xingzhi College Zhejiang Normal University
Publication Details
- Journal
- Buildings
- Published
- 2026-09-29
- DOI
- https://doi.org/10.3390/buildings16193881
- Primary Topic
- 3D Surveying and Cultural Heritage
- Type
- article
- Field-Weighted Citation Impact
- 0.00