Papers › GLAMR: Global Occlusion-Aware Human Mesh Recovery with Dynamic Cameras
GLAMR: Global Occlusion-Aware Human Mesh Recovery with Dynamic Cameras
Ye Yuan, Umar Iqbal, Pavlo Molchanov, Kris Kitani, Jan Kautz
We present an approach for 3D global human mesh recovery from monocular videos recorded with dynamic cameras. Our approach is robust to severe and long-term occlusions and tracks human bodies even when they go outside the camera's field of view. To achieve this, we first propose a deep generative motion infiller, which autoregressively infills the body motions of occluded humans based on visible motions. Additionally, in contrast to prior work, our approach reconstructs human meshes in consistent global coordinates even with dynamic cameras. Since the joint reconstruction of human motions and camera poses is underconstrained, we propose a global trajectory predictor that generates global human trajectories based on local body movements. Using the predicted trajectories as anchors, we present a global optimization framework that refines the predicted trajectories and optimizes the camera poses to match the video evidence such as 2D keypoints. Experiments on challenging indoor and in-the-wild datasets with dynamic cameras demonstrate that the proposed approach outperforms prior methods significantly in terms of motion infilling and global mesh recovery.
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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 | EMDB | GLAMR | Average MPJAE (deg) | 25.5058 | #8 of 13 | Archive leaderboard | report |
| 3D Human Pose Estimation | EMDB | GLAMR | Average MPJAE-PA (deg) | 23.5484 | #8 of 13 | Archive leaderboard | report |
| 3D Human Pose Estimation | EMDB | GLAMR | Average MPJPE (mm) | 107.797 | #8 of 13 | Archive leaderboard | report |
| 3D Human Pose Estimation | EMDB | GLAMR | Average MPJPE-PA (mm) | 71.0091 | #8 of 13 | Archive leaderboard | report |
| 3D Human Pose Estimation | EMDB | GLAMR | Average MVE (mm) | 128.237 | #8 of 13 | Archive leaderboard | report |
| 3D Human Pose Estimation | EMDB | GLAMR | Average MVE-PA (mm) | 85.4586 | #8 of 13 | Archive leaderboard | report |
| 3D Human Pose Estimation | EMDB | GLAMR | Jitter (10m/s^3) | 67.3522 | #8 of 13 | Archive leaderboard | report |
| Global 3D Human Pose Estimation | EMDB | GLAMR | Average G-MPJPE (mm) | 3193 | #1 of 1 | Archive leaderboard | report |
| Global 3D Human Pose Estimation | EMDB | GLAMR | Average G-MVE (mm) | 3203 | #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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