Research on AIGC Consistency Control in the Restoration of Ancient Architectural Interior Scenes
With the rapid development of artificial intelligence technology,AI-generated content creation(AIGC)has shown significant potential in the field of ancient architectural interior scene restoration.This paper explores the application of AIGC technology in the restoration of ancient architectural interiors,focusing on the Bijing Hall of the Chengde Mountain Resort as a case study.It examines the effectiveness and strategies of AIGC technology in ensuring consistency in visual,stylistic,spatial,and historical-cultural aspects.Through the analysis of relevant historical documents,combined with field investigations and digital modeling,this research has developed a specialized AIGC model,achieving a highly realistic restoration of Bijing Hall's interior scenes.The findings suggest that AIGC technology can effectively restore lost or damaged ancient architectural interiors with precise data training and model adjustment,offering new perspectives and tools for cultural heritage protection and academic research.This study not only expands the application scope of AIGC technology in the field of cultural heritage but also provides a theoretical and practical foundation for the future development and application of related technologies.
万方数据
维普
