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PSGAN running with ncnn⚡妆容迁移/仿妆⚡Imitation Makeup/Makeup Transfer⚡

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PSGAN-NCNN

What

  1. PSGAN是CVPR2020上的一个妆容迁移的工作,该工程的目的是将PSGAN移植至c++,并将所有模型使用ncnn进行推理
  2. 妆容迁移:有一张上了妆的人脸图像A,有一张没上妆的素颜人脸图像B,妆容迁移就是给B上A的妆容

Introduce

image image

  1. PSGAN提出的模型是2stage的,第一个stage计算两个特征值gamma和beta,第二个stage才计算迁移后的妆容,所以有两个模型
  2. 人脸的预处理,PSGAN的实现用了dlib的人脸检测和人脸68点关键点,还有一个pytorch的人脸属性分割模型
  3. 如代码所示,我除了dlib的方法外,我还收集了可以在ncnn上运行人脸检测和人脸关键点的模型对dlib进行了替换

Source Code

  1. opencv_dlib_ncnn_vs2019:opencv + dlib + ncnn的VS2019工程(最直接实现)
  2. opencv-mobile_ncnn_vs2019:opencv-mobile + ncnn的VS2019工程(最小依赖实现)
  3. opencv-mobile_ncnn_qt_vs2019:opencv-mobile + ncnn + qt界面的VS2019工程

Resource

  1. 带有qt gui的exe程序: 百度网盘(提取码:6666) image
  2. 知乎分析文章:https://zhuanlan.zhihu.com/p/426474467

Reference

  1. PSGAN: https://github.com/wtjiang98/PSGAN
  2. ncnn: https://github.com/Tencent/ncnn
  3. dlib: https://github.com/davisking/dlib
  4. opencv: https://github.com/opencv/opencv
  5. opencv-mobile: https://github.com/nihui/opencv-mobile
  6. LFFD-with-ncnn: https://github.com/SyGoing/LFFD-with-ncnn
  7. Peppa-Facial-Landmark-PyTorch: https://github.com/ainrichman/Peppa-Facial-Landmark-PyTorch

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PSGAN running with ncnn⚡妆容迁移/仿妆⚡Imitation Makeup/Makeup Transfer⚡

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