Recently, generative adversarial networks (GANs) have progressed enormously, which
makes them able to learn complex data distributions in particular faces. More and more …

Talking human face generation aims at synthesizing a natural human face that talks in
correspondence to the given text or audio series. Implementing the recently developed …

Generating 3D faces from textual descriptions has a multitude of applications, such as
gaming, movie and robotics. Recent progresses have demonstrated the success of …

In this paper, we introduce FitMe, a facial reflectance model and a differentiable rendering
optimization pipeline, that can be used to acquire high-fidelity renderable human avatars …

Generative models for 3D geometric data arise in many important applications in 3D
computer vision and graphics. In this paper, we focus on 3D deformable shapes that share a …

We present a large-scale facial UV-texture dataset that contains over 50,000 high-quality
texture UV-maps with even illuminations, neutral expressions, and cleaned facial regions …

Three-dimensional morphable models (3DMMs) are powerful statistical tools for
representing the 3D shapes and textures of an object class. Here we present the most …

Generating realistic 3D faces is of high importance for computer graphics and computer
vision applications. Generally, research on 3D face generation revolves around linear …

Abstract Facial 3D Morphable Models are a main computer vision subject with countless
applications and have been highly optimized in the last two decades. The tremendous …

Abstract 3D face reconstruction is the most captivating topic in biometrics with the advent of
deep learning and readily available graphical processing units. This paper explores the …