Real-time Facial Surface Geometry from Monocular Video on Mobile GPUs

We present an end-to-end neural network-based model for inferring the approximate 3D mesh representation of a human face from single camera input for AR applications. The relatively dense mesh model of 468 vertices is well-suited for face-based AR effects. The proposed model demonstrates super-realtime inference speed on mobile GPUs (100--1000+ FPS, depending on the device and model variant) and a high prediction quality that is comparable to the variance in manual annotations of the same image.

• Machine Perception

• Machine Intelligence