Papers › 3D Human Mesh Estimation from Virtual Markers
3D Human Mesh Estimation from Virtual Markers
Xiaoxuan Ma, Jiajun Su, Chunyu Wang, Wentao Zhu, Yizhou Wang
Inspired by the success of volumetric 3D pose estimation, some recent human mesh estimators propose to estimate 3D skeletons as intermediate representations, from which, the dense 3D meshes are regressed by exploiting the mesh topology. However, body shape information is lost in extracting skeletons, leading to mediocre performance. The advanced motion capture systems solve the problem by placing dense physical markers on the body surface, which allows to extract realistic meshes from their non-rigid motions. However, they cannot be applied to wild images without markers. In this work, we present an intermediate representation, named virtual markers, which learns 64 landmark keypoints on the body surface based on the large-scale mocap data in a generative style, mimicking the effects of physical markers. The virtual markers can be accurately detected from wild images and can reconstruct the intact meshes with realistic shapes by simple interpolation. Our approach outperforms the state-of-the-art methods on three datasets. In particular, it surpasses the existing methods by a notable margin on the SURREAL dataset, which has diverse body shapes. Code is available at https://github.com/ShirleyMaxx/VirtualMarker
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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 | 3DPW | VirtualMarker | MPJPE | 67.5 | #10 of 119 | Archive leaderboard | report |
| 3D Human Pose Estimation | 3DPW | VirtualMarker | MPVPE | 77.9 | #10 of 119 | Archive leaderboard | report |
| 3D Human Pose Estimation | 3DPW | VirtualMarker | PA-MPJPE | 41.3 | #10 of 119 | Archive leaderboard | report |
| 3D Human Pose Estimation | Surreal | VirtualMarker | MPJPE | 36.9 | #1 of 6 | Archive leaderboard | report |
| 3D Human Pose Estimation | Surreal | VirtualMarker | PA-MPJPE | 28.9 | #1 of 6 | Archive leaderboard | report |
| 3D Human Pose Estimation | Surreal | VirtualMarker | PVE | 44.7 | #1 of 6 | 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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