AI Driven Path for Activating Intangible Cultural Heritage in Design Protection Practice of Intelligent Reconstruction of Traditional Craftsmanship Elements and Modern Design Transformation
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Abstract
Against the backdrop of cultural digitalization and the rapid development of intelligent information technologies, the activation and sustainable inheritance of design-oriented intangible cultural heritage (ICH) face challenges including inheritance discontinuity, insufficient innovation, and limited market adaptability. Traditional craftsmanship elements, particularly those embedded in textile-related cultural heritage, contain rich aesthetic and technical knowledge that requires systematic digital reconstruction for contemporary applications. Leveraging the capabilities of artificial intelligence in pattern recognition, data mining, intelligent generation, and information processing, this study constructs a four-dimensional analytical framework integrating “AI technology–element reconstruction–design transformation –dynamic inheritance”. The framework systematically investigates the internal mechanism of AI-driven activation of traditional craftsmanship elements and proposes a four-stage activation model involving element deconstruction, intelligent reconstruction, design transformation, and market validation. Through the digital extraction and intelligent reorganization of traditional weaving, dyeing, embroidery, and related craft elements, the proposed approach enhances design efficiency, cultural fidelity, and market adaptability. The study provides a practical pathway for the intelligent preservation and innovative transformation of traditional craftsmanship and offers methodological references for digital cultural communication and intelligent design systems.
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