The quality and size of training set have a great impact on the results of deep learning-
based face-related tasks. However, collecting and labeling adequate samples with high …

In the past decade, deep neural networks, particularly convolutional neural networks, have
revolutionised computer vision. However, all deep learning models may require a large …

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

Generating high-fidelity talking head video by fitting with the input audio sequence is a
challenging problem that receives considerable attentions recently. In this paper, we …

We present a novel semantic model for human head defined with neural radiance field. The
3D-consistent head model consist of a set of disentangled and interpretable bases, and can …

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 …

Though tremendous strides have been made in uncontrolled face detection, accurate and
efficient 2D face alignment and 3D face reconstruction in-the-wild remain an open …

Recently, deep learning based 3D face reconstruction methods have shown promising
results in both quality and efficiency. However, training deep neural networks typically …

The metaverse aims to build an immersive virtual reality world to support the daily life, work,
and recreation of people. In this survey, the status quo of the metaverse is investigated, and …

Landmarks often play a key role in face analysis, but many aspects of identity or expression
cannot be represented by sparse landmarks alone. Thus, in order to reconstruct faces more …