In the metaverse, digital avatar plays an important role in representing human beings for
various interaction with virtual objects and environments, which puts a high demand on …

Avatar refers to a representative of a physical user in the virtual world that can engage in
different activities and interact with other objects in metaverse. Simulating the avatar …

We propose to estimate 3D human pose from multi-view images and a few IMUs attached at
person's limbs. It operates by firstly detecting 2D poses from the two signals, and then lifting …

This paper is on highly accurate and highly efficient human pose estimation. Recent works
based on Fully Convolutional Networks (FCNs) have demonstrated excellent results for this …

Recently, the vision transformer and its variants have played an increasingly important role
in both monocular and multi-view human pose estimation. Considering image patches as …

The state-of-the-art for monocular 3D human pose estimation in videos is dominated by the
paradigm of 2D-to-3D pose uplifting. While the uplifting methods themselves are rather …

We propose embodied scene-aware human pose estimation where we estimate 3D poses
based on a simulated agent's proprioception and scene awareness, along with external third …

Currently, 3D pose estimation methods are not compatible with a variety of low
computational power devices because of efficiency and accuracy. In this paper, we revisit a …

Estimating the 3D human pose from the monocular video is challenging mainly due to the
depth ambiguity and inaccurate 2D detected keypoints. To quantify the depth uncertainty of …

This paper investigates the task of 2D human whole-body pose estimation, which aims to
localize dense landmarks on the entire human body including face, hands, body, and feet …