Traditional 3D morphable face models (3DMMs) provide fine-grained control over
expression but cannot easily capture geometric and appearance details. Neural volumetric …

In this paper, we present a novel open-source pipeline for face registration based on
Gaussian processes as well as an application to face image analysis. Non-rigid registration …

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 …

With the powerfulness of convolution neural networks (CNN), CNN based face
reconstruction has recently shown promising performance in reconstructing detailed face …

We present a single-image 3D face synthesis technique that can handle challenging facial
expressions while recovering fine geometric details. Our technique employs expression …

Tremendous efforts have been made to learn animatable and photorealistic human avatars.
Towards this end, both explicit and implicit 3D representations are heavily studied for a …

We consider the problem of category-level 6D pose estimation from a single RGB image.
Our approach represents an object category as a cuboid mesh and learns a generative …

Virtual facial avatars will play an increasingly important role in immersive communication,
games and the metaverse, and it is therefore critical that they be inclusive. This requires …

3D pose estimation is a challenging but important task in computer vision. In this work, we
show that standard deep learning approaches to 3D pose estimation are not robust when …

Faces in natural images are often occluded by a variety of objects. We propose a fully
automated, probabilistic and occlusion-aware 3D morphable face model adaptation …