现代信息科技2025，Vol.9Issue(8)：61-64,70,5.DOI:10.19850/j.cnki.2096-4706.2025.08.012
基于生成对抗网络的服装草图转换研究
Research on Clothing Sketch Conversion Based on Generative Adversarial Networks
摘要
Abstract
The image conversion of clothing sketches has enormous application value in fields such as visual editing,clothing design,and human-computer interaction.At present,most of the objects converted from sketches are relatively simple shapes,such as faces,human postures,animal postures,shoes,and bags.The work based on sketch conversion is difficult to handle images with complex texture structures,making it challenging to solve the task of image conversion for clothing sketches.To solve this problem,an application research on sketch to clothing image conversion is proposed based on the above work.Through the reverse generation of clothing simulation sketches using the U2-Net network model,the construction of the clothing sketch dataset is completed.Then,the improved BicycleGAN network is used for training to achieve sketch conversion.Finally,the experimental effects before and after the improvement are compared.The experiment shows that the improved BicycleGAN network model has significant improvement compared to before,and with the improved network proposed in this paper,the task of converting clothing sketches to real clothing images can be effectively completed.关键词
图像转换/服装草图/生成对抗网络Key words
image conversion/clothing sketch/Generative Adversarial Networks分类
信息技术与安全科学引用本文复制引用
林豪发,罗艳玲,卢娜,胡定兴,朱大琴..基于生成对抗网络的服装草图转换研究[J].现代信息科技,2025,9(8):61-64,70,5.基金项目
武汉工商学院校级基金项目(A2023017) （A2023017）
