Papers › SoloPose: One-Shot Kinematic 3D Human Pose Estimation with Video Data Augmentation
SoloPose: One-Shot Kinematic 3D Human Pose Estimation with Video Data Augmentation
David C. Jeong, Hongji Liu, Saunder Salazar, Jessie Jiang, Christopher A. Kitts
While recent two-stage many-to-one deep learning models have demonstrated great success in 3D human pose estimation, such models are inefficient ways to detect 3D key points in a sequential video relative to one-shot and many-to-many models. Another key drawback of two-stage and many-to-one models is that errors in the first stage will be passed onto the second stage. In this paper, we introduce SoloPose, a novel one-shot, many-to-many spatio-temporal transformer model for kinematic 3D human pose estimation of video. SoloPose is further fortified by HeatPose, a 3D heatmap based on Gaussian Mixture Model distributions that factors target key points as well as kinematically adjacent key points. Finally, we address data diversity constraints with the 3D AugMotion Toolkit, a methodology to augment existing 3D human pose datasets, specifically by projecting four top public 3D human pose datasets (Humans3.6M, MADS, AIST Dance++, MPI INF 3DHP) into a novel dataset (Humans7.1M) with a universal coordinate system. Extensive experiments are conducted on Human3.6M as well as the augmented Humans7.1M dataset, and SoloPose demonstrates superior results relative to the state-of-the-art approaches.
Code
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| 3D Human Pose Estimation | Human3.6M | SoloPose | Average MPJPE (mm) | 38.9 | #15 of 88 | Archive leaderboard | report |
| 3D Human Pose Estimation | Human3.6M | SoloPose | Multi-View or Monocular | Monocular | #15 of 88 | Archive leaderboard | report |
| 3D Human Pose Estimation | Human3.6M | SoloPose | PA-MPJPE | 29.9 | #15 of 88 | Archive leaderboard | report |
| 3D Human Pose Estimation | Human3.6M | SoloPose | Using 2D ground-truth joints | No | #15 of 88 | 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.
Methods
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