By deconstructing and reconstructing the genes of red sculptures in Tianjin, the work aims to explore the innovative communication path of red heritage, construct the AIGC design paradigm driven by two dimensions of symbolic genes and human-computer synergy, and realize the innovative inheritance of red culture with the help of AI transformed cultural and creative products. Firstly, 12 representative red sculptures in Tianjin were selected to deconstruct and map the sculpture genes from the three dimensions of semantic structure, semantics, and semantics based on Morris Semiotics Theory, and the hierarchical analysis method was used to quantify the gene weights and screen out the core factors with high degree of characterization; Secondly, the design objectives were determined based on weights, and a dataset incorporating core factors was constructed to train the Lora model; Finally, the sculpture line drawings were fused with the training model through the ControlNet architecture to generate 12 groups of cultural and creative solutions that retained the original features, and the final results were selected through eye-tracking experiments. The classification system and weight evaluation model of red sculpture genes were constructed, and the intelligent design path of map construction, data-driven and human-machine cooperation was proposed. The work systematically analyzes the dynamic attributes of red sculpture genes in the dimensions of inheritance mechanism, screening logic, reproduction path and evolution law, and promotes the realization of dynamic inheritance of cultural heritage through innovation and transformation; The auxiliary application of AIGC technology proves the feasibility of AI-enabled cultural innovation, and significantly improves the intelligent transformation efficiency of cultural and creative products.
Key words
sculpture gene /
analytic hierarchy process /
Morris Semiotics /
Artificial Intelligence Generated Content (AIGC) /
cultural and creative design /
eye-tracking
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