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 …
Estimating Human Poses Across Datasets: A Unified Skeleton and Multi-Teacher Distillation Approach
MSU Khan, D Limbachiya, D Stricker… - arXiv preprint arXiv …, 2024 - arxiv.org
Human pose estimation is a key task in computer vision with various applications such as
activity recognition and interactive systems. However, the lack of consistency in the …
activity recognition and interactive systems. However, the lack of consistency in the …
DanceFusion: A Spatio-Temporal Skeleton Diffusion Transformer for Audio-Driven Dance Motion Reconstruction
L Zhao, Z Lu - arXiv preprint arXiv:2411.04646, 2024 - arxiv.org
This paper introduces DanceFusion, a novel framework for reconstructing and generating
dance movements synchronized to music, utilizing a Spatio-Temporal Skeleton Diffusion …
dance movements synchronized to music, utilizing a Spatio-Temporal Skeleton Diffusion …