SPGNet: Spatial Projection Guided 3D Human Pose Estimation in Low Dimensional Space
Published in Smart Multimedia, 2022
This paper presents SPGNet, a cutting-edge framework designed to enhance the accuracy and efficiency of 3D human pose estimation through the innovative use of spatial projection guidance. By leveraging deep learning techniques, SPGNet addresses the challenges of pose estimation in low-dimensional spaces, offering significant advancements over existing methods.
Recommended citation: Wang, Z., Chen, R., Liu, M., Dong, G., & Basu, A. (2022). "SPGNet: Spatial Projection Guided 3D Human Pose Estimation in Low Dimensional Space." Smart Multimedia. [PDF]