目的 通过对天津地区红色雕塑基因的解构与重构,探索红色遗产的创新传播路径,构建符号基因与人机协同双维驱动的AIGC设计范式,借助AI转化文创产品实现红色文化的创新性传承。方法 首先选取天津12处代表性红色雕塑,基于莫里斯符号学理论从语构、语义、语用三维度解构雕塑基因并绘制图谱,运用层次分析法量化基因权重,筛选高表征度核心因子;其次根据权重确定设计目标,结合核心因子构建数据集训练Lora模型;最终通过ControlNet架构将雕塑线稿与训练模型融合,生成12组保留原特征的文创方案,经眼动实验优选最终成果。结果 构建了红色雕塑基因分类体系与权重评价模型,提出图谱构建、数据驱动、人机协同的智能设计路径。结论 系统解析红色雕塑基因在传承机制、筛选逻辑、再现路径及演变规律等维度的动态属性,推动文化遗产通过创新转化实现动态传承;AIGC技术的辅助应用实证了AI赋能文化创新的可行性,显著提升了文创产品的智能转化效率。
Abstract
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.
关键词
雕塑基因 /
层次分析法 /
莫里斯符号学 /
生成式人工智能（AIGC） /
文创设计 /
眼动追踪
Key words
sculpture gene /
analytic hierarchy process /
Morris Semiotics /
Artificial Intelligence Generated Content (AIGC) /
cultural and creative design /
eye-tracking
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