The recent state of the art on monocular 3D face reconstruction from image data has made
some impressive advancements, thanks to the advent of Deep Learning. However, it has …

To bring digital avatars into people's lives, it is highly demanded to efficiently generate
complete, realistic, and animatable head avatars. This task is challenging, and it is difficult …

There is a growing demand for the accessible creation of high-quality 3D avatars that are
animatable and customizable. Although 3D morphable models provide intuitive control for …

Implicit radiance functions emerged as a powerful scene representation for reconstructing
and rendering photo-realistic views of a 3D scene. These representations, however, suffer …

In this work we introduce two types of makeup prior models to extend existing 3D face prior
models: PCA-based and StyleGAN2-based priors. The PCA-based prior model is a linear …

Face de-identification involves concealing the true identity of a face while retaining other
facial characteristics. Current target-generic methods typically disentangle identity features …

The recent state of the art on monocular 3D face reconstruction from image data has made
some impressive advancements, thanks to the advent of Deep Learning. However, it has …

We present Semantify: a self-supervised method that utilizes the semantic power of CLIP
language-vision foundation model to simplify the control of 3D morphable models. Given a …

Abstract 3D Morphable Models (3DMMs) demonstrate great potential for reconstructing
faithful and animatable 3D facial surfaces from a single image. The facial surface is …

In this article, we present a large-scale detailed 3D face dataset, FaceScape, and the
corresponding benchmark to evaluate single-view facial 3D reconstruction. By training on …