Recent transformer-based solutions have been introduced to estimate 3D human pose from
2D keypoint sequence by considering body joints among all frames globally to learn spatio …

Most existing monocular 3D pose estimation approaches only focus on a single body part,
neglecting the fact that the essential nuance of human motion is conveyed through a concert …

Over the past few years, research on animal pose estimation in computer vision field has
grown in many aspects such as 2D and 3D pose estimation, 3D mesh reconstruction, and …

Medical image segmentation has the priori guiding significance for clinical diagnosis and
treatment. In the past ten years, a large number of experimental facts have proved the great …

In this work, we propose a framework for single-view hand mesh reconstruction, which can
simultaneously achieve high reconstruction accuracy, fast inference speed, and temporal …

Reconstructing interacting hands from monocular images is indispensable in AR/VR
applications. Most existing solutions rely on the accurate localization of each skeleton joint …

We present HandAvatar, a novel representation for hand animation and rendering, which
can generate smoothly compositional geometry and self-occlusion-aware texture …

Hand gesture is one of the most efficient and natural interfaces in current human–computer
interaction (HCI) systems. Despite the great progress achieved in hand gesture-based HCI …

Abstract We present HARP (HAnd Reconstruction and Personalization), a personalized
hand avatar creation approach that takes a short monocular RGB video of a human hand as …

Abstract We present Neural Shape Deformation Priors, a novel method for shape
manipulation that predicts mesh deformations of non-rigid objects from user-provided …