Face recognition is a rapidly growing research area due to increasing demands for security
in commercial and law enforcement applications. This paper provides an up-to-date review …

While current monocular 3D face reconstruction methods can recover fine geometric details,
they suffer several limitations. Some methods produce faces that cannot be realistically …

As 3D facial avatars become more widely used for communication, it is critical that they
faithfully convey emotion. Unfortunately, the best recent methods that regress parametric 3D …

Recently, a lot of attention has been focused on the incorporation of 3D data into face
analysis and its applications. Despite providing a more accurate representation of the face …

Abstract We present Face Swapping GAN (FSGAN) for face swapping and reenactment.
Unlike previous work, FSGAN is subject agnostic and can be applied to pairs of faces …

We present a system for the creation of realistic one-shot mesh-based (ROME) human head
avatars. From a single photograph, our system estimates the head mesh (with person …

We propose a method for detecting face swapping and other identity manipulations in single
images. Face swapping methods, such as DeepFake, manipulate the face region, aiming to …

The 3D shapes of faces are well known to be discriminative. Yet despite this, they are rarely
used for face recognition and always under controlled viewing conditions. We claim that this …

In this article, we provide a detailed survey of 3D Morphable Face Models over the 20 years
since they were first proposed. The challenges in building and applying these models …

We present two novel methods for face verification. Our first method-“attribute” classifiers-
uses binary classifiers trained to recognize the presence or absence of describable aspects …