We present a physically-based approach for simulating makeup in face images. The key idea is to decompose the face image into intrinsic image layers - namely albedo, diffuse shading, and specular highlights - which are each differently affected by cosmetics, and then manipulate each layer according to corresponding models of reflectance. Accurate intrinsic image decompositions for faces are obtained with the help of human face priors, including statistics on skin reflectance and facial geometry. The intrinsic image layers are then transformed in appearance according to measured optical properties of cosmetics and proposed adaptations of physically-based reflectance models. With this approach, realistic results are generated in a manner that preserves the personal appearance features and lighting conditions of the target face while not requiring detailed geometric and reflectance measurements. We demonstrate this technique on various forms of cosmetics including foundation, blush, lipstick, and eye shadow. Results on both images and videos exhibit a close approximation to ground truth and compare favorably to existing techniques.

中文翻译：

---

基于面部先验的内在图像分解对化妆品进行基于物理的模拟

我们提出了一种基于物理的方法来模拟面部图像中的化妆。关键思想是将面部图像分解为固有图像层（即反照率，漫射阴影和镜面高光），它们分别受化妆品的影响不同，然后根据相应的反射率模型来操纵每一层。借助人脸先验可以获得准确的人脸固有图像分解，包括有关皮肤反射率和人脸几何的统计信息。然后，根据化妆品的光学特性和基于物理的反射率模型的拟议改建，将固有图像层的外观进行转换。通过这种方法，可以在不要求详细的几何和反射率测量的情况下，以保留目标外观的个人外观特征和照明条件的方式生成逼真的结果。我们在各种形式的化妆品（包括粉底液，腮红，口红和眼影）上演示了此技术。图像和视频的结果都非常接近地面实况，并且与现有技术相比具有优势。