Sustainable design of bamboo weaving products based on style generative adversarial network and Grasshopper technology

To explore the design innovation of traditional bamboo weaving handicrafts and realise the sustainable development of bamboo woven patterns, a generation and design method of bamboo woven patterns in combination with the style generative adversarial network (StyleGAN) and Grasshopper (GH) is proposed. The artificial intelligence (AI) is taken as the technical framework and the research is divided into three stages. Firstly, StyleGAN is used to train the data set composed of existing bamboo woven patterns to generate new bamboo woven patterns which have not been seen in the market. Secondly, new patterns with high weaving feasibility are selected, and hand-drawn bamboo woven patterns are drawn through the collaborative design of fashion designers. Finally, parameterised modelling of weaving patterns is carried out by using the GH plug-in in Rhino software, thus a new bamboo woven patterns model library is established. The patterns are successively mapped into the design of women’s bamboo woven bags, and finally, the product shape and style that customers are satisfied with are generated. The research results show that combining StyleGAN in AI and GH parametric modelling technology provides a new idea for the sustainable design of bamboo woven products and has a broad application prospect.