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基于SCGAN的妆容迁移软件设计与实现

Design and implementation of makeup transfer software based on SCGAN
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摘要 妆容迁移技术可以将参考图像的妆容风格迁移到目标图像的人脸上,帮助人们快速判断该类风格是否适合自己,达到虚拟化妆的效果。近年来,基于GAN的模型被广泛应用到妆容迁移技术上。文中基于Python语言实现了SCGAN妆容迁移算法,并设计开发了一个基于SCGAN的妆容迁移软件。该软件包含输入目标图像、截取人脸、输入参考图像和迁移妆容四个功能,在人脸空间变化较大的情况下也能快速实现妆容迁移效果。该软件界面简洁美观,操作简单,实现快速虚拟试妆。 Makeup transfer technology can transfer the makeup style of the reference image to the face of the target image,helping people quickly judge whether this style is suitable for themselves to achieve the effect of virtual makeup.In recent years,the model based on GAN has been widely applied to makeup transfer technology.This paper implements the makeup transfer algorithm based on python language,and designs and develops a makeup transfer software based on SCGAN.The software includes four functions,including input⁃ting target image,capturing face image of the target image,inputting reference image,and transferring make⁃up,which can quickly realize the makeup transfer function in the case of large changes in the face space.The software interface is simple and beautiful,and easy to operate,which could realize fast virtual makeup.
作者 马继梁 唐海涌 张瀚匀 MA Ji-liang;TANG Hai-yong;ZHANG Han-yun(College of Computer Science and Engineering,Guangxi Normal University,Guilin 541004,Guangxi Zhuang Autonomous Region,China)
出处 《信息技术》 2024年第8期38-43,共6页 Information Technology
基金 广西自然科学基金项目(2022GXNSFAA035506)。
关键词 妆容迁移 深度学习 生成对抗网络 特征提取 PYTHON makeup transfer deep learning generative adversarial nets feature extraction Python
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