Innovative Regeneration of Rural Public Spaces and Community Vitality Enhancement Driven by AIGC Technology: A Case Study of Guojia Ci Public Spaces

Abstract

In the context of China's ongoing rural revitalization strategy, rural public spaces—critical arenas for community interaction, cultural heritage, and recreation—confront significant challenges, including functional homogeneity and diminished vitality during spatial regeneration. The rapid advancement of Artificial Intelligence Generated Content (AIGC) technologies has unlocked novel methodological avenues for rural spatial regeneration, extending the frontier of design innovation.This study aims to construct and validate an AIGC-assisted design process for rural public spaces. By integrating literature reviews, case studies, and technical evaluations of tools such as Stable Diffusion and Midjourney, a methodological framework was established. Subsequently, using the public space of Guojia Ci Village in Chengdu’s Eastern New District as a case study, this framework was applied to a comprehensive practical process—encompassing site analysis, intelligent scheme generation, and community co-creation—to test its application methods and implementation pathways.  The study advances three strategic interventions: temporal-spatial resilient layouts, multisensory immersive landscapes, and cultural IP development. These strategies coalesce into a human–machine collaborative design paradigm underpinned by AIGC technologies and oriented toward community participation. The results indicate that AIGC technology can effectively enhance design efficiency and creative diversity, strengthen villagers’ sense of participation and belonging in spatial renewal, and promote the contemporary expression and inheritance of local culture.