Research on the construction of gene library of tie-dyeing technology based on AI-aided design

Abstract

Tie-dyeing is an important part of traditional Chinese culture and has profound historical heritage and artistic value. With the advancement of modern industrialization, traditional tie-dye techniques are facing the dilemma of inheritance, especially the depletion of dye resources, the lack of process innovation and the reduction of market demand. With the rapid development of artificial intelligence (AI) technology, especially breakthroughs in the fields of image generation, deep learning and data mining, AI technology has brought new opportunities for the protection, inheritance and innovation of tie-dye skills. In this paper, we propose a framework for the construction of a gene database of tie-dye technology based on AI-assisted design, combined with generative adversarial network (GAN), convolutional neural network (CNN) and other technologies, to explore how to establish a tie-dye pattern database, optimize the tie-dye process, preserve natural dye genes, and promote the digital protection and global promotion of tie-dye technology. Through the elaboration of the details of technical realization, the feasibility and practical path of AI in the innovation and inheritance of tie-dyeing skills are proposed.