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Found 3 papers, 1 papers with code
Self-supervised Extraction of Human Motion Structures via Frame-wise Discrete Features
In the proposed method, features are extracted as codes in a motion codebook without the use of human knowledge, and the relationship between these codes can be visualized on a graph.
Graph Stacked Hourglass Networks for 3D Human Pose Estimation
In this paper, we propose a novel graph convolutional network architecture, Graph Stacked Hourglass Networks, for 2D-to-3D human pose estimation tasks.
Ranked #53 on
3D Human Pose Estimation
on MPI-INF-3DHP
(AUC metric)
Video Motion Capture from the Part Confidence Maps of Multi-Camera Images by Spatiotemporal Filtering Using the Human Skeletal Model
This paper discusses video motion capture, namely, 3D reconstruction of human motion from multi-camera images.
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