Estimating the pose of a human in 3D given an image or a video has recently received
significant attention from the scientific community. The main reasons for this trend are the …

We describe the first method to automatically estimate the 3D pose of the human body as
well as its 3D shape from a single unconstrained image. We estimate a full 3D mesh and …

In this work, we propose a method that combines a single hand-held camera and a set of
Inertial Measurement Units (IMUs) attached at the body limbs to estimate accurate 3D poses …

We propose a CNN-based approach for 3D human body pose estimation from single RGB
images that addresses the issue of limited generalizability of models trained solely on the …

This paper addresses the challenge of 3D human pose estimation from a single color image.
Despite the general success of the end-to-end learning paradigm, top performing …

In this paper, a novel Diffusion-based 3D Pose estimation (D3DP) method with Joint-wise
reProjection-based Multi-hypothesis Aggregation (JPMA) is proposed for probabilistic 3D …

We explore 3D human pose estimation from a single RGB image. While many approaches
try to directly predict 3D pose from image measurements, we explore a simple architecture …

We propose a unified formulation for the problem of 3D human pose estimation from a single
raw RGB image that reasons jointly about 2D joint estimation and 3D pose reconstruction to …

Abstract 3D human pose estimation from monocular images is a highly ill-posed problem
due to depth ambiguities and occlusions. Nonetheless, most existing works ignore these …

This paper addresses the problem of 3D human pose estimation from a single image. We
follow a standard two-step pipeline by first detecting the 2D position of the N body joints, and …