A comprehensive survey on human pose estimation approaches

S Dubey, M Dixit - Multimedia Systems, 2023 - Springer
The human pose estimation is a significant issue that has been taken into consideration in
the computer vision network for recent decades. It is a vital advance toward understanding …

A systematic literature review of generative adversarial networks (GANs) in 3D avatar reconstruction from 2D images

AJH Koh, SY Tan, MF Nasrudin - Multimedia Tools and Applications, 2024 - Springer
The rapid advancement of machine learning and computer vision has paved the way for
significant processes in 3D avatar reconstruction from 2D images. Recently, generative …

3D human pose estimation based on 2D–3D consistency with synchronized adversarial training

Y Deng, C Sun, Y Sun, J Zhu - Robotics and Autonomous Systems, 2024 - Elsevier
Abstract 3D human pose estimation from a single image is still a challenging problem
despite the large amount of work that has been performed in this field. Generally, most …

PosturePose: Optimized Posture Analysis for Semi-Supervised Monocular 3D Human Pose Estimation

L Amadi, G Agam - Sensors, 2023 - mdpi.com
One motivation for studying semi-supervised techniques for human pose estimation is to
compensate for the lack of variety in curated 3D human pose datasets by combining labeled …

Semantic and Articulated Pedestrian Sensing Onboard a Moving Vehicle

M Priisalu - arXiv preprint arXiv:2309.06313, 2023 - arxiv.org
It is difficult to perform 3D reconstruction from on-vehicle gathered video due to the large
forward motion of the vehicle. Even object detection and human sensing models perform …

Inferring Human Biomechanics With Deep Learning for Human-Centered Computer Vision Applications

LC Amadi - 2024 - search.proquest.com
People are the focal point of modern technology and perhaps the most volatile component.
For example, recent AI technologies like ChatGPT and Copilot are being developed to be …

A synchronized reprojection-based model for 3d human pose estimation

Y Deng, C Sun, Y Sun, J Zhu - arXiv preprint arXiv:2106.04274, 2021 - arxiv.org
3D human pose estimation is still a challenging problem despite the large amount of work
that has been done in this field. Generally, most methods directly use neural networks and …