Estimating human pose and shape from monocular images is a long-standing problem in
computer vision. Since the release of statistical body models, 3D human mesh recovery has …

This paper presents a survey of the state-of-the-art deformable models studied in the
literature, with regard to soft tissue deformable modeling for interactive surgical simulation. It …

To facilitate the analysis of human actions, interactions and emotions, we compute a 3D
model of human body pose, hand pose, and facial expression from a single monocular …

To understand and analyze human behavior, we need to capture humans moving in, and
interacting with, the world. Most existing methods perform 3D human pose estimation …

Grasping is natural for humans. However, it involves complex hand configurations and soft
tissue deformation that can result in complicated regions of contact between the hand and …

Human pose and shape (HPS) estimation methods achieve remarkable results. However,
current HPS benchmarks are mostly designed to test models in scenarios that are similar to …

We present a novel neural implicit representation for articulated human bodies. Compared
to explicit template meshes, neural implicit body representations provide an efficient …

Thoroughly revised, this third edition focuses on modern techniques used to generate
synthetic three-dimensional images in a fraction of a second. With the advent of …

Hand motion capture is a popular research field, recently gaining more attention due to the
ubiquity of RGB-D sensors. However, even most recent approaches focus on the case of a …

Physically based deformable models have been widely embraced by the Computer
Graphics community. Many problems outlined in a previous survey by Gibson and Mirtich …