Multi-agent collaborative pathways for Chinese traditional architectural image generation.

ABSTRACT: Artificial Intelligence Generated Content (AIGC) technology demonstrates significant potential in the fields of cultural heritage digitalization and cultural tourism design. However, when confronted with specific subjects such as Chinese traditional architecture, which embodies rich cultural connotations and complex visual elements, existing technologies still exhibit limitations in understanding vague user requirements, ensuring cultural accuracy, and generating diverse and high-fidelity images. To address these challenges, this study proposes a text-to-image generation framework oriented towards Chinese traditional architecture, based on multi-agent collaboration. This framework integrates multiple intelligent agents responsible for user intent understanding, creative prompt generation,

SUBMITTER: Lu Y 

PROVIDER: S-EPMC12494968 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature