基于生成对抗网络的服装草图转换研究

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中图分类号：TP391.4；TP18 文献标识码：A 文章编号：2096-4706（2025）08-0061-05

Abstract： The image conversion of clothing sketches has enormous application value in fields such as visual editing， clothingdesign，ndhuman-computerinteraction.Atpresent，mostofthejectsconvertedfromsetchesarerelatielysimple shaps，suchasfaces，humanpostures，animalpostures，shoes，andbags.Theworkbasedosketchconversionisdifultto handle images withcomplex texturestructures，makingitchallnging tosolve thetask ofimageconversionforclothing sketches. To solve this problem，anapplicationresearchonsketch toclothing image conversion is proposed basedontheabove work. Through the reverse generation of clothing simulation sketches using the -Net network model， theconstructionof the clothing sketch datasetiscompleted.Then，theimprovedBicycleGANnetwork isusedfortrainingtoachieve sketchconversion.Finally theexperimentaleffectsbeforeandaftertheimprovementarecompared.Theexperimentshowsthat theimprovedBicycleGAN network modelhassignificantimprovementcomparedtobefore，andwiththeimprovednetwork proposed inthis paper，thetask ofconverting clothing sketches to real clothing images can be effectively completed.

Keywords： image conversion; clothing sketch; Generative Adversarial Networks

0 引言

目前草图图像转换的对象为人脸、人体姿态、动物姿态等较为简单的线条，但以线条较为复杂的服装图像作为图像转换对象的应用比较罕见。（剩余4971字）