Papers › Multi-View Multi-Person 3D Pose Estimation with Plane Sweep Stereo

Multi-View Multi-Person 3D Pose Estimation with Plane Sweep Stereo

6 Apr 2021CVPR 2021 1arXiv:2104.02273archive 2025-07-28

Jiahao Lin, Gim Hee Lee

Existing approaches for multi-view multi-person 3D pose estimation explicitly establish cross-view correspondences to group 2D pose detections from multiple camera views and solve for the 3D pose estimation for each person. Establishing cross-view correspondences is challenging in multi-person scenes, and incorrect correspondences will lead to sub-optimal performance for the multi-stage pipeline. In this work, we present our multi-view 3D pose estimation approach based on plane sweep stereo to jointly address the cross-view fusion and 3D pose reconstruction in a single shot. Specifically, we propose to perform depth regression for each joint of each 2D pose in a target camera view. Cross-view consistency constraints are implicitly enforced by multiple reference camera views via the plane sweep algorithm to facilitate accurate depth regression. We adopt a coarse-to-fine scheme to first regress the person-level depth followed by a per-person joint-level relative depth estimation. 3D poses are obtained from a simple back-projection given the estimated depths. We evaluate our approach on benchmark datasets where it outperforms previous state-of-the-arts while being remarkably efficient. Our code is available at https://github.com/jiahaoLjh/PlaneSweepPose.

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jiahaoLjh/PlaneSweepPose officialmentioned in papermentioned on GitHubpytorch report

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1ran · our draft was wrong
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JointCNN jiahaoLjh/PlaneSweepPose/lib/models/mvmppe.py official repository ran · metamorphic tier: deterministic fingerprinted MIT (permissive) · e441a0ff8dbcb8cc · report
PoseCNN jiahaoLjh/PlaneSweepPose/lib/models/mvmppe.py official repository ran · metamorphic tier: deterministic MIT (permissive) · a2e26e651381ea85 · report
SoftArgMax jiahaoLjh/PlaneSweepPose/lib/models/mvmppe.py official repository ran MIT (permissive) · 2541e2a5d1dc76f9 · report
torch_back_project_point jiahaoLjh/PlaneSweepPose/lib/models/mvmppe.py official repository ran · fixture could not drive it fingerprinted MIT (permissive) · a29c52185d0b6e36 · report
torch_project_point jiahaoLjh/PlaneSweepPose/lib/models/mvmppe.py official repository ran · fixture could not drive it fingerprinted MIT (permissive) · e9e64cecb7168c61 · report
torch_unfold_camera_param jiahaoLjh/PlaneSweepPose/lib/models/mvmppe.py official repository ran · our draft was wrong MIT (permissive) · 69f36ea163abdf52 · report
MultiViewMultiPersonPoseNet jiahaoLjh/PlaneSweepPose/lib/models/mvmppe.py official repository unverified MIT (permissive) · 3d720292b6c7f203 · report
torch_back_project_pose jiahaoLjh/PlaneSweepPose/lib/models/mvmppe.py official repository unverified MIT (permissive) · fd94ab017d8d8274 · report
torch_project_pose jiahaoLjh/PlaneSweepPose/lib/models/mvmppe.py official repository unverified MIT (permissive) · 727d8abe1dd585d8 · report

Tasks

3D Multi-Person Pose Estimation3D Pose EstimationDepth EstimationPose Estimationregression

Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
3D Multi-Person Pose Estimation Campus PlaneSweepPose PCP3D 97 #3 of 16 Archive leaderboard report
3D Multi-Person Pose Estimation Panoptic PlaneSweepPose Average MPJPE (mm) 16.75 #4 of 20 Archive leaderboard report
3D Multi-Person Pose Estimation Shelf PlaneSweepPose PCP3D 97.9 #5 of 27 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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