The reconstruction of 3D object from a single image is an important task in the field of
computer vision. In recent years, 3D reconstruction of single image using deep learning …

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

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 …

In the past few years, a lot of work has been done towards reconstructing the 3D facial
structure from single images by capitalizing on the power of Deep Convolutional Neural …

It has been recently shown that neural networks can recover the geometric structure of a
face from a single given image. A common denominator of most existing face geometry …

Real-world talking faces often accompany with natural head movement. However, most
existing talking face video generation methods only consider facial animation with fixed …

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

Abstract We present Monocular Neural Parametric Head Models (MonoNPHM) for dynamic
3D head reconstructions from monocular RGB videos. To this end we propose a latent …

A lot of work has been done towards reconstructing the 3D facial structure from single
images by capitalizing on the power of Deep Convolutional Neural Networks (DCNNs). In …

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