This paper reviews the current state of the art in artificial intelligence (AI) technologies and
applications in the context of the creative industries. A brief background of AI, and …

Abstract Background Three-dimensional (3D) reconstruction technology is a method of
transforming real goals into mathematical models consistent with computer logic …

Deep learning has been successfully applied to solve various complex problems ranging
from big data analytics to computer vision and human-level control. Deep learning advances …

Editing talking-head video to change the speech content or to remove filler words is
challenging. We propose a novel method to edit talking-head video based on its transcript to …

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 …

Deep learning has been successfully applied to solve various complex problems ranging
from big data analytics to computer vision and human-level control. Deep learning advances …

Embedding 3D morphable basis functions into deep neural networks opens great potential
for models with better representation power. However, to faithfully learn those models from …

Monocular image-based 3D reconstruction of faces is a long-standing problem in computer
vision. Since image data is a 2D projection of a 3D face, the resulting depth ambiguity …

Video portraits are common in a variety of applications, such as videoconferencing, news
broadcasting, and virtual education and training. We present a novel method to synthesize …

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 the …