Chinese Wedding Dress Design Based on Generative Adversarial Network
In order to solve the time-consuming and low-efficiency problems in traditional Chinese wedding dress design and development methods,this study introduced deep learning technology into Chinese wedding dress design.It proposed a generative design method based on the Pix2Pix algorithm model.The Chinese wedding dress data was obtained through crawler technology.It annotated contour features,edge features and semantic features,and then launched two sets of experiments consisting of single feature control condition generation and feature joint control condition generation.The research shows that the"progressive generation method"that jointly controls conditional generation combines the advantages of generative adversarial networks and conditional image generation methods.Clothing feature annotations were used as conditions to enhance the controllability of the clothing image generation process.Compared to"single feature control condition generation",this approach offers superior detailed control capabilities,providing ideas for the design and development of Chinese wedding dress.
Chinese wedding dressdeep learningPix2Pix algorithmcontrol condition generation
NETL
NSTL
万方数据
