  We propose a neural rendering-based system that creates head avatars from a
single photograph. Our approach models a person's appearance by decomposing it
into two layers. The first layer is a pose-dependent coarse image that is
synthesized by a small neural network. The second layer is defined by a
pose-independent texture image that contains high-frequency details. The
texture image is generated offline, warped and added to the coarse image to
ensure a high effective resolution of synthesized head views. We compare our
system to analogous state-of-the-art systems in terms of visual quality and
speed. The experiments show significant inference speedup over previous neural
head avatar models for a given visual quality. We also report on a real-time
smartphone-based implementation of our system.
