Conventional methods for human motion synthesis have either been deterministic or have
had to struggle with the trade-off between motion diversity vs motion quality. In response to …

With the recent surge in popularity of AR/VR applications, realistic and accurate control of
3D full-body avatars has become a highly demanded feature. A particular challenge is that …

Estimating 3D human motion from an egocentric video sequence plays a critical role in
human behavior understanding and has various applications in VR/AR. However, naively …

Monocular 3D human pose and shape estimation is an ill-posed problem since multiple 3D
solutions can explain a 2D image of a subject. Recent approaches predict a probability …

Egocentric human pose estimation aims to estimate human body poses and develop body
representations from a first-person camera perspective. It has gained vast popularity in …

To bridge the physical and virtual worlds for rapidly developed VR/AR applications, the
ability to realistically drive 3D full-body avatars is of great significance. Although real-time …

We present a lightweight and affordable motion capture method based on two smartwatches
and a head-mounted camera. In contrast to the existing approaches that use six or more …

Motion capture technology is crucial in various applications like animation, virtual reality and
sports analysis. With the development of deep learning methods, significant progress has …

Generating both plausible and accurate full body avatar motion is the key to the quality of
immersive experiences in mixed reality scenarios. Head-Mounted Devices (HMDs) typically …

Mixed reality applications require tracking the user's full-body motion to enable an
immersive experience. However, typical head-mounted devices can only track head and …