Practical exploration of AI technology in digital preservation and innovation of mangzhi technique

Yan Pan1, Yanyan Chen1
1Guangxi Technological College of Machinery and Electricity, Nanning, Guangxi, 530000, China

Abstract

Mango weaving, a traditional handicraft in Guangxi, is facing decline. This study explores AI technology’s role in its protection and innovation by analyzing consumer reviews using perceived value theory and the LDA topic model to identify preferences for improving production. A lightweight generative adversarial network with a non-local attention mechanism is proposed for text-to-multi-objective image generation, aiding innovative design. Consumers expressed 82.6% satisfaction with mango weaving. Reviews were categorized into five themes, highlighting the need for improvements in emotion, quality, and price. The AI-generated image model outperformed others, with IS and FID scores improving by 21.85% and 16.46%, respectively. AI enhances mango weaving by refining design, improving product quality, and expanding its preservation and development.

Keywords: AI technology, LDA subject model, text analysis, non-local self-attention mechanism, text-generated image, mango weaving technique