Intelligent Clothing Design System Based on AIGC and Virtual Simulation Technology

Abstract

In this paper, an intelligent clothing design system with characteristic features is developed through virtual reality technology, and the system contains three functional modules, namely, 3D mannequin, personalized design and virtual fitting, and intelligent matching recommendation of clothing styles, to realize the creative clothing design experience. Aiming at the insufficiency of traditional collaborative filtering algorithms, a clothing recommendation algorithm incorporating user preference trust (PCUCF) is proposed, and the proposed algorithm is applied to the system to complete the functional integrity of the system. The clothing features are summarized into four modules: color features, style features, pattern features and decorative features, and the feature importance score and feature preference are calculated, and the 16 best feature sets are summarized in the feature preference part, and the recommendation algorithm has an accuracy rate of 86.1% for the classification of clothing styles, which is significantly improved compared with other models. After human try-on test, the results show that the intelligent clothing design system can track the respiratory state of human body through the change curve of human body temperature, and at the same time meet the comfort requirements.