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Deep LearningModel-Swap-Face_v2
Overview

Model-Swap-Face v2


  这个项目是基于stylegan2 pSp制作的，比v1版本Model-Swap-Face在推理速度和图像质量上有一定提升。主要的功能是将虚拟模特进行环球不同区域的风格转换，目前转换器提供西欧模特、东亚模特和北非模特三种主流的风格样式，可帮我们实现生产资料零成本化以及广告制作的高效化；此外项目还提供了去位姿编码器以获得模特的正脸肖像。投射器的版权所有：www.seeprettyface.com。此块内容目前还没有花很多精力搞，先当做一种资源分享给大家。



效果预览

Sample





Inference框架

Sample





使用方法

环境配置

  参照pSp文档进行环境配置。

下载模型

  模型下载地址参见pretrained_models文件夹中的txt文档，主要包括的模型如下：
  encoder.pt -- 含位姿编码器
  encoder_without_pos.pt -- 去位姿编码器
  projector_EastAsian.pt -- 东亚模特投射器
  projector_WestEuropean.pt -- 西欧模特投射器
  projector_NorthAfrican.pt -- 北非模特投射器
  shape_predictor_68_face_landmarks.dat -- 人脸检测
  79999_iter.pth -- 人脸mask分割



运行代码

  将图片放在input文件夹下，然后编辑scripts/inference.py，运行如下代码：
  python scripts/inference.py
  结果会保存在output文件夹下



了解更多

  我周末的时候喜欢思考一些新的应用场景和模式，欢迎访问我的网站了解更多。

Owner
seeprettyface.com
seeprettyface.com
GitHub Repository
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