Image blending aims to combine multiple images seamlessly. It remains challenging for
existing 2D-based methods, especially when input images are misaligned due to differences …

In this paper, we propose a solution to the task of generating dynamic 3D facial expressions
from a neutral 3D face and an expression label. This involves solving two sub-problems:(i) …

In this paper, we present FaceTuneGAN, a new 3D face model representation decomposing
and encoding separately facial identity and facial expression. We propose a first adaptation …

Dense vertex-to-vertex correspondence (ie registration) between 3D faces is a fundamental
and challenging issue for 3D &2D face analysis. While the sparse landmarks are definite …

4D facial expression synthesizing is a critical problem in the fields of computer vision and
graphics. Current methods lack flexibility and smoothness when simulating the inter-frame …

In this article, we propose a hybrid framework for cross-resolution 3D face recognition which
utilizes a Streamed Attention Network (SAN) that combines handcrafted features with …

Recognising continuous emotions and action unit (AU) intensities from face videos, requires
a spatial and temporal understanding of expression dynamics. Existing works primarily rely …

Human facial expressions change dynamically, so their recognition/analysis should be
conducted by accounting for the temporal evolution of face deformations either in 2D or 3D …

In this article, we address the problem of 4D facial expressions generation. This is usually
addressed by animating a neutral 3D face to reach an expression peak, and then get back to …

Facial Action Units (AUs) correspond to the deformation/contraction of individual facial
muscles or their combinations. As such, each AU affects just a small portion of the face, with …