KITRO: Refining Human Mesh by 2D Clues and Kinematic-tree Rotation
Abstract 2D keypoints are commonly used as an additional cue to refine estimated 3D
human meshes. Current methods optimize the pose and shape parameters with a …
human meshes. Current methods optimize the pose and shape parameters with a …
Detection, Pose Estimation and Segmentation for Multiple Bodies: Closing the Virtuous Circle
M Purkrabek, J Matas - arXiv preprint arXiv:2412.01562, 2024 - arxiv.org
Human pose estimation methods work well on separated people but struggle with multi-
body scenarios. Recent work has addressed this problem by conditioning pose estimation …
body scenarios. Recent work has addressed this problem by conditioning pose estimation …
Utilizing Uncertainty in 2D Pose Detectors for Probabilistic 3D Human Mesh Recovery
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 …
depth ambiguities, occlusions, and truncations. Recent probabilistic approaches learn a …
基于深度学习的二维单人姿态估计综述.
苏妍妍， 邱志良， 李帼， 陆声链… - Journal of Computer …, 2024 - search.ebscohost.com
人体姿态估计是计算机视觉领域的一项关键技术, 它通过检测人体关键点以识别人体姿态.
随着深度学习的快速发展, 其已成为人体姿态估计的主流技术并取得了显著进展 …
随着深度学习的快速发展, 其已成为人体姿态估计的主流技术并取得了显著进展 …
ProbPose: A Probabilistic Approach to 2D Human Pose Estimation
M Purkrabek, J Matas - arXiv preprint arXiv:2412.02254, 2024 - arxiv.org
Current Human Pose Estimation methods have achieved significant improvements.
However, state-of-the-art models ignore out-of-image keypoints and use uncalibrated …
However, state-of-the-art models ignore out-of-image keypoints and use uncalibrated …