Papers › Exploiting temporal context for 3D human pose estimation in the wild
Exploiting temporal context for 3D human pose estimation in the wild
Anurag Arnab, Carl Doersch, Andrew Zisserman
We present a bundle-adjustment-based algorithm for recovering accurate 3D human pose and meshes from monocular videos. Unlike previous algorithms which operate on single frames, we show that reconstructing a person over an entire sequence gives extra constraints that can resolve ambiguities. This is because videos often give multiple views of a person, yet the overall body shape does not change and 3D positions vary slowly. Our method improves not only on standard mocap-based datasets like Human 3.6M -- where we show quantitative improvements -- but also on challenging in-the-wild datasets such as Kinetics. Building upon our algorithm, we present a new dataset of more than 3 million frames of YouTube videos from Kinetics with automatically generated 3D poses and meshes. We show that retraining a single-frame 3D pose estimator on this data improves accuracy on both real-world and mocap data by evaluating on the 3DPW and HumanEVA datasets.
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Monocular 3D Human Pose Estimation | Human3.6M | Bundle Adjustment (GTi) | Average MPJPE (mm) | 63.3 | #32 of 52 | Archive leaderboard | report |
| Monocular 3D Human Pose Estimation | Human3.6M | Bundle Adjustment | Frames Needed | 190 | #50 of 52 | Archive leaderboard | report |
| Monocular 3D Human Pose Estimation | Human3.6M | Bundle Adjustment | Need Ground Truth 2D Pose | No | #50 of 52 | Archive leaderboard | report |
| Monocular 3D Human Pose Estimation | Human3.6M | Bundle Adjustment | Use Video Sequence | Yes | #50 of 52 | 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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