For virtual reality (VR) applications, estimating full-body pose in real-time is becoming
increasingly popular. Previous works have reconstructed full-body motion in real time from …

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 …

Real-time full-body motion capture (MoCap) is becoming necessary for enabling natural
interactions and creating deeper immersion in virtual reality (VR). To reduce the cost and …

HTC Vive has been gaining attention as a cost-effective, off-the-shelf tracking system for
collecting ground truth pose data. We assess this system's pose estimation through a series …

Abstract Today's Mixed Reality head-mounted displays track the user's head pose in world
space as well as the user's hands for interaction in both Augmented Reality and Virtual …

3D Human body pose and shape estimation within a temporal sequence can be quite critical
for understanding human behavior. Despite the significant progress in human pose …

Full-body motion capture typically requires sensors/markers to be placed on each rigid body
segment, which results in long setup times and is obtrusive. The number of sensors/markers …

Towards stable human pose estimation from monocular images, there remain two main
dilemmas. On the one hand, the different perspectives, ie, front view, side view, and top …

With the popularization of games and VR/AR devices, there is a growing need for capturing
human motion with a sparse set of tracking data. In this paper, we introduce a deep neural …

Accurate and reliable human motion reconstruction is crucial for creating natural interactions
of full-body avatars in Virtual Reality (VR) and entertainment applications. As the Metaverse …