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Camera Distance-aware Top-down Approach for 3D Multi-person Pose Estimation from a Single RGB Image

26 Jul 2019ICCV 2019 10arXiv:1907.11346archive 2025-07-28

Gyeongsik Moon, Ju Yong Chang, Kyoung Mu Lee

Although significant improvement has been achieved recently in 3D human pose estimation, most of the previous methods only treat a single-person case. In this work, we firstly propose a fully learning-based, camera distance-aware top-down approach for 3D multi-person pose estimation from a single RGB image. The pipeline of the proposed system consists of human detection, absolute 3D human root localization, and root-relative 3D single-person pose estimation modules. Our system achieves comparable results with the state-of-the-art 3D single-person pose estimation models without any groundtruth information and significantly outperforms previous 3D multi-person pose estimation methods on publicly available datasets. The code is available in https://github.com/mks0601/3DMPPE_ROOTNET_RELEASE , https://github.com/mks0601/3DMPPE_POSENET_RELEASE.

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mks0601/3DMPPE_POSENET_RELEASE officialmentioned in papermentioned on GitHubpytorchMIT report
mks0601/3DMPPE_ROOTNET_RELEASE officialmentioned in papermentioned on GitHubpytorchMIT report
faheinrich/moon_pose_estimation_setup mentioned on GitHubpytorch report
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cam2pixel mks0601/3DMPPE_POSENET_RELEASE/common/utils/pose_utils.py official repository ran fingerprinted MIT (permissive) · 5bbf1999f902db71 · report
cam2pixel mks0601/3DMPPE_POSENET_RELEASE/tool/Human36M/h36m2coco.py official repository unverified MIT (permissive) · bd44af8e06392585 · report
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pixel2cam mks0601/3DMPPE_POSENET_RELEASE/common/utils/pose_utils.py official repository unverified MIT (permissive) · 4e0d082f568a6dc1 · report
vis_keypoints mks0601/3DMPPE_POSENET_RELEASE/common/utils/vis.py official repository unverified MIT (permissive) · cc44dcba6bcf48dd · report
world2cam mks0601/3DMPPE_POSENET_RELEASE/common/utils/pose_utils.py official repository unverified MIT (permissive) · 30032d2301daf06e · report
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Tasks

3D Absolute Human Pose Estimation3D Depth Estimation3D Human Pose Estimation3D Multi-Person Pose Estimation3D Multi-Person Pose Estimation (absolute)3D Multi-Person Pose Estimation (root-relative)Monocular 3D Human Pose EstimationMulti-Person Pose EstimationPose EstimationRoot Joint Localization

Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
3D Absolute Human Pose Estimation Human3.6M RootNet MRPE 120.0 #2 of 4 Archive leaderboard report
3D Human Pose Estimation 3D Poses in the Wild Challenge RootNet MPJAE 21.25 #2 of 5 Archive leaderboard report
3D Human Pose Estimation 3D Poses in the Wild Challenge RootNet MPJPE 84.28 #2 of 5 Archive leaderboard report
3D Multi-Person Pose Estimation (absolute) MuPoTS-3D 3DMPPE_POSENET 3DPCK 31.5 #13 of 14 Archive leaderboard report
3D Multi-Person Pose Estimation (root-relative) MuPoTS-3D 3DMPPE_POSENET 3DPCK 81.8 #14 of 20 Archive leaderboard report
Monocular 3D Human Pose Estimation Human3.6M Moon et. al. Frames Needed 1 #46 of 52 Archive leaderboard report
Monocular 3D Human Pose Estimation Human3.6M Moon et. al. Need Ground Truth 2D Pose No #46 of 52 Archive leaderboard report
Monocular 3D Human Pose Estimation Human3.6M Moon et. al. Use Video Sequence No #46 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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