Papers › 3D Human Mesh Estimation from Virtual Markers

3D Human Mesh Estimation from Virtual Markers

21 Mar 2023CVPR 2023 1arXiv:2303.11726archive 2025-07-28

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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_make_cls_layer shirleymaxx/vmarker-pro/vmpro/models/diff3dmesh.py official repository ran · our draft was wrong Apache-2.0 (permissive) · 56243e25fc65b6a3 · report
make_beta_schedule shirleymaxx/vmarker-pro/vmpro/models/diff3dmesh.py official repository ran · honoured contract Apache-2.0 (permissive) · 5fb09962eaaf7537 · report
make_ddim_sampling_parameters shirleymaxx/vmarker-pro/vmpro/models/diff3dmesh.py official repository ran · fixture could not drive it Apache-2.0 (permissive) · ece0041abe71c85c · report
make_ddim_timesteps shirleymaxx/vmarker-pro/vmpro/models/diff3dmesh.py official repository ran · honoured contract Apache-2.0 (permissive) · b8675d63452dd149 · report
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DDIMSampler shirleymaxx/vmarker-pro/vmpro/models/diff3dmesh.py official repository unverified Apache-2.0 (permissive) · e5c504c0e733b9e0 · report
Diff3DMesh shirleymaxx/vmarker-pro/vmpro/models/diff3dmesh.py official repository unverified Apache-2.0 (permissive) · 92a5c0d383d8695e · report
LCN shirleymaxx/vmarker-pro/vmpro/models/diff3dmesh.py official repository unverified Apache-2.0 (permissive) · ce2b842f9960b888 · report
Simple3DMesh ShirleyMaxx/VirtualMarker/virtualmarker/models/simple3dmesh.py official repository unverified Apache-2.0 (permissive) · 8854af0c554cf18e · report
_make_cls_head shirleymaxx/vmarker-pro/vmpro/models/diff3dmesh.py official repository unverified Apache-2.0 (permissive) · 8fce39cc7481984a · report
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init_weights shirleymaxx/vmarker-pro/vmpro/models/diff3dmesh.py official repository unverified Apache-2.0 (permissive) · a7953a1265b39806 · report

Tasks

3D Human Pose Estimation3D Pose EstimationDenoisingPose Estimation

Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
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

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