Papers › Skeleton-Graph: Long-Term 3D Motion Prediction From 2D Observations Using Deep...
Skeleton-Graph: Long-Term 3D Motion Prediction From 2D Observations Using Deep Spatio-Temporal Graph CNNs
Abduallah Mohamed, Huancheng Chen, Zhangyang Wang, Christian Claudel
Several applications such as autonomous driving, augmented reality and virtual reality require a precise prediction of the 3D human pose. Recently, a new problem was introduced in the field to predict the 3D human poses from observed 2D poses. We propose Skeleton-Graph, a deep spatio-temporal graph CNN model that predicts the future 3D skeleton poses in a single pass from the 2D ones. Unlike prior works, Skeleton-Graph focuses on modeling the interaction between the skeleton joints by exploiting their spatial configuration. This is being achieved by formulating the problem as a graph structure while learning a suitable graph adjacency kernel. By the design, Skeleton-Graph predicts the future 3D poses without divergence in the long-term, unlike prior works. We also introduce a new metric that measures the divergence of predictions in the long term. Our results show an FDE improvement of at least 27% and an ADE of 4% on both the GTA-IM and PROX datasets respectively in comparison with prior works. Also, we are 88% and 93% less divergence on the long-term motion prediction in comparison with prior works on both GTA-IM and PROX datasets. Code is available at https://github.com/abduallahmohamed/Skeleton-Graph.git
Code
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Trajectory Prediction | GTA-IM Dataset | Skeleton-Graph | ADE | 192 | #1 of 1 | Archive leaderboard | report |
| Trajectory Prediction | GTA-IM Dataset | Skeleton-Graph | FDE | 208 | #1 of 1 | Archive leaderboard | report |
| Trajectory Prediction | GTA-IM Dataset | Skeleton-Graph | STB | 11 | #1 of 1 | Archive leaderboard | report |
| Trajectory Prediction | PROX | Skeleton-Graph | ADE | 280 | #1 of 1 | Archive leaderboard | report |
| Trajectory Prediction | PROX | Skeleton-Graph | FDE | 288 | #1 of 1 | Archive leaderboard | report |
| Trajectory Prediction | PROX | Skeleton-Graph | STB | 6 | #1 of 1 | Archive leaderboard | report |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
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