3D Human Pose Estimation with Occlusions: Introducing BlendMimic3D Dataset and GCN Refinement

arXiv:2404.16136v1 Announce Type: new
Abstract: In the field of 3D Human Pose Estimation (HPE), accurately estimating human pose, especially in scenarios with occlusions, is a significant challenge. This work identifies and addresses a gap in the current state of the art in 3D HPE concerning the scarcity of data and strategies for handling occlusions. We introduce our novel BlendMimic3D dataset, designed to mimic real-world situations where occlusions occur for seamless integration in 3D HPE algorithms. Additionally, we propose a 3D …

arxiv cs.cv dataset human type