JHASS

Article http://dx.doi.org/10.26855/jhass.2025.08.011

Constructing Urban Cultural Gene Bank: AI-assisted Digital Extraction and Redesign of Traditional Sculpture Patterns

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Feng Zhou

Langfang Normal University, Langfang 065000, Hebei, China.

*Corresponding author: Feng Zhou

This paper is supported by the Science Research Project of Hebei Education Department (Project Number: QN2025826).

Published: August 26,2025

Abstract

This paper investigates the integration of artificial intelligence (AI) technology in building urban cultural gene banks, with a specific focus on the digital extraction and innovative redesign of traditional sculpture patterns. By leveraging advanced technologies such as deep learning, computer vision, and generative adversarial networks (GANs), we propose a systematic framework for efficiently recognizing, categorizing, and reconstructing these patterns. The study aims to support the digital preservation and revitalization of cultural heritage while exploring AI-assisted design applications in the cultural and creative sectors. Through empirical analysis, the research demonstrates that AI-driven methods significantly enhance the accuracy of pattern extraction and the efficiency of redesign processes. This approach not only preserves cultural heritage in a digital format but also fosters creativity by enabling novel interpretations of traditional motifs. The findings underscore the potential of AI as a transformative tool in constructing urban cultural gene banks, offering a scalable and innovative methodology for cultural heritage conservation and creative innovation.

Keywords

Urban cultural gene bank; Traditional sculpture patterns; Artificial intelligence; Digital extraction; Pattern redesign

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How to cite this paper

Constructing Urban Cultural Gene Bank: AI-assisted Digital Extraction and Redesign of Traditional Sculpture Patterns

How to cite this paper: Feng Zhou. (2025) Constructing Urban Cultural Gene Bank: AI-assisted Digital Extraction and Redesign of Traditional Sculpture Patterns. Journal of Humanities, Arts and Social Science, 9(8), 1535-1539.

DOI: http://dx.doi.org/10.26855/jhass.2025.08.011