High-Quality Facial Geometry and Appearance Capture at Home
Authors: Yuxuan Han, Junfeng Lyu, Feng Xu

Facial geometry and appearance capture have demonstrated tremendous success in 3D scanning real humans in studios. Recent works propose to democratize this technique while keeping the results high quality. However they are still inconvenient for daily usage. In addition they focus on an easier problem of only capturing facial skin. This paper proposes a novel method for high-quality face capture featuring an easy-to-use system and the capability to model the complete face with skin mouth interior hair and eyes. We reconstruct facial geometry and appearance from a single co-located smartphone flashlight sequence captured in a dim room where the flashlight is the dominant light source (e.g. rooms with curtains or at night). To model the complete face we propose a novel hybrid representation to effectively model both eyes and other facial regions along with novel techniques to learn it from images. We apply a combined lighting model to compactly represent real illuminations and exploit a morphable face albedo model as a reflectance prior to disentangle diffuse and specular. Experiments show that our method can capture high-quality 3D relightable scans. Our code will be released.