UNOC: Understanding Occlusion for Embodied Presence in Virtual Reality
MoCaNet: Motion Retargeting In-the-Wild via Canonicalization Networks
Development and Validation of a Deep Learning Algorithm and Open-Source Platform for the Automatic Labelling of Motion Capture Markers | bioRxiv
Toward accurate real-time marker labeling for live optical motion capture | SpringerLink
Toward accurate real-time marker labeling for live optical motion capture | SpringerLink
Orientation Keypoints for 6D Human Pose Estimation
Sensors | Free Full-Text | Evaluation of Dynamic Spinal Morphology and Core Muscle Activation in Cyclists—A Comparison between Standing Posture and on the Bicycle
Robust labeling of human motion markers in the presence of occlusions - ScienceDirect
Comparing Motion Capture Techniques for Movement Art
EasyMocap/Readme.md at master · zju3dv/EasyMocap · GitHub