Human 3.6M
Emerging6papers using it
2020first seen
The 'Human-3.6M' dataset is a benchmark that contains 3D human pose data captured from various activities, used to evaluate algorithms for 3D human pose estimation from monocular videos.
Papers using Human 3.6M (6)
- HumanCM: One Step Human Motion PredictionSocial-Pose: Enhancing Trajectory Prediction with Human Body PoseVideo Inference for Human Mesh Recovery with Vision Transformer3D Human Pose Estimation via Spatial Graph Order Attention and Temporal
Body Aware TransformerPPT: token-Pruned Pose Transformer for monocular and multi-view human
pose estimationHuman Detection and Segmentation via Multi-view Consensus