Inspired by the success of volumetric 3D pose estimation, some recent human mesh
estimators propose to estimate 3D skeletons as intermediate representations, from which …

Abstract We introduce PLIKS (Pseudo-Linear Inverse Kinematic Solver) for reconstruction of
a 3D mesh of the human body from a single 2D image. Current techniques directly regress …

Learning-based approaches to monocular motion capture have recently shown promising
results by learning to regress in a data-driven manner. However due to the challenges in …

Abstract 3D pose estimation is an invaluable task in computer vision with various practical
applications. Especially, 3D pose estimation for multi-person from a monocular video …

To date, little attention has been given to multi-view 3D human mesh estimation, despite real-
life applicability (eg, motion capture, sport analysis) and robustness to single-view …

Learning-based approaches to monocular motion capture have recently shown promising
results by learning to regress in a data-driven manner. However, due to the challenges in …

This paper addresses the challenging task of reconstructing the poses of multiple individuals
engaged in close interactions, captured by multiple calibrated cameras. The difficulty arises …

Monocular 3D human mesh estimation faces challenges due to depth ambiguity and the
complexity of mapping images to complex parameter spaces. Recent methods propose to …

In this study, we introduce the 3D space attention module (3DSA) as a novel approach to
address the drawback of multi-view 3D human pose estimation methods, which fail to …

Monocular 3D human pose and shape estimation is an inherently ill-posed problem due to
depth ambiguities, occlusions, and truncations. Recent probabilistic approaches learn a …