S Li, L Ke, K Pratama, YW Tai… - Proceedings of the …, 2020 - openaccess.thecvf.com
End-to-end deep representation learning has achieved remarkable accuracy for monocular 3D human pose estimation, yet these models may fail for unseen poses with limited and …
Recovering human pose from RGB images and videos has drawn increasing attention in recent years owing to minimum sensor requirements and applicability in diverse fields such …
Heatmap representations have formed the basis of human pose estimation systems for many years, and their extension to 3D has been a fruitful line of recent research. This …
D Xiang, F Prada, C Wu… - … Conference on 3D Vision …, 2020 - ieeexplore.ieee.org
We present a method to capture temporally coherent dynamic clothing deformation from a monocular RGB video input. In contrast to the existing literature, our method does not …
Reconstructing 3D human shape and pose from monocular images is challenging despite the promising results achieved by the most recent learning-based methods. The commonly …
H Ci, X Ma, C Wang, Y Wang - IEEE Transactions on Pattern …, 2020 - ieeexplore.ieee.org
We present an approach for 3D human pose estimation from monocular images. The approach consists of two steps: it first estimates a 2D pose from an image and then …
Recovering 3D human pose from 2D joints is a highly unconstrained problem. We propose a novel neural network framework, PoseNet3D, that takes 2D joints as input and outputs 3D …
In this paper we propose to embed SMPL within a deep-based model to accurately estimate 3D pose and shape from a still RGB image. We use CNN-based 3D joint predictions as an …
We use our hands every day: to grasp a cup of coffee, write text on a keyboard, or signal that we are about to say something important. We use our hands to interact with our environment …