We present a new method for reconstructing the appearance properties of human faces from a lightweight capture procedure in an unconstrained environment. Our method recovers the surface geometry, diffuse albedo, specular intensity and specular roughness from a monocular video containing a simple head rotation in-the-wild. Notably, we make no simplifying assumptions on the environment lighting, and we explicitly take visibility and occlusions into account. As a result, our method can produce facial appearance maps that approach the fidelity of studio-based multi-view captures, but with a far easier and cheaper procedure.

翻译：我们提出了一种新方法，用于在无约束环境中通过轻量级采集流程重建人脸的外观属性。该方法可从包含简单头部旋转的野外单目视频中恢复表面几何、漫反射反照率、镜面反射强度与镜面粗糙度。值得注意的是，我们对环境光照不作任何简化假设，并显式考虑了可见性与遮挡效应。因此，本方法生成的面部外观贴图可接近基于影棚的多视角采集的保真度，但采集流程更为简便经济。