{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/multi-view-multi-person-3d-pose-estimation","title":"Multi-View Multi-Person 3D Pose Estimation with Plane Sweep Stereo","arxiv_id":"2104.02273","date":"2021-04-06","proceeding":"CVPR 2021 1","authors":["Jiahao Lin","Gim Hee Lee"],"abstract":"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.","url_abs":"https://arxiv.org/abs/2104.02273v1","url_pdf":"https://arxiv.org/pdf/2104.02273v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"multi-view-multi-person-3d-pose-estimation","repo_url":"https://github.com/jiahaoLjh/PlaneSweepPose","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"pytorch","reach":null}],"tasks":[{"task_slug":"3d-multi-person-pose-estimation","task_name":"3D Multi-Person Pose Estimation"},{"task_slug":"3d-pose-estimation","task_name":"3D Pose Estimation"},{"task_slug":"depth-estimation","task_name":"Depth Estimation"},{"task_slug":"pose-estimation","task_name":"Pose Estimation"},{"task_slug":"regression-1","task_name":"regression"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[{"leaderboard":"/sota/3d-multi-person-pose-estimation-on-campus","task":"3D Multi-Person Pose Estimation","dataset":"Campus","model":"PlaneSweepPose","rank_in_archive_order":3,"of":16,"metrics":{"PCP3D":"97"},"uses_additional_data":false},{"leaderboard":"/sota/3d-multi-person-pose-estimation-on-cmu","task":"3D Multi-Person Pose Estimation","dataset":"Panoptic","model":"PlaneSweepPose","rank_in_archive_order":4,"of":20,"metrics":{"Average MPJPE (mm)":"16.75"},"uses_additional_data":true},{"leaderboard":"/sota/3d-multi-person-pose-estimation-on-shelf","task":"3D Multi-Person Pose Estimation","dataset":"Shelf","model":"PlaneSweepPose","rank_in_archive_order":5,"of":27,"metrics":{"PCP3D":"97.9"},"uses_additional_data":false}],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=2104.02273","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2104.02273"}},"developers":"https://syntology.ai/developers","read_at":"2026-09-24T18:15:14+00:00","read_at_is":"when the build read Syntology's graph, not when any sample ran","claim":"Per-sample execution status on synthesized fixtures; not a correctness claim about the paper. Samples come from repositories linked to the paper, official or community; repo_kind says which.","repos":[{"provenance":"deterministic:regex_extraction","url":"https://github.com/jiahaoLjh/PlaneSweepPose","reach":null}],"summary":{"ran":3,"ran_fixture":2,"ran_draft_wrong":1,"unverified":3},"by_repo_kind":{"official":{"samples":9,"ran":6,"repositories":1}},"repo_kind_vocabulary":{"official":"The archive marks this repository official for the paper","named_in_paper":"The archive records that the paper mentions this repository; it is not marked official","listed":"In the archive's code links for this paper, not marked official and not recorded as mentioned in the paper","found_in_text":"Syntology found this repository in the paper's own text; whether it is the authors' implementation is not asserted","community":"Not in the archive's code links for this paper; a community repository Syntology harvested"},"n_pointer_only_for_licence":0,"samples":[{"code_sha256_prefix":"e441a0ff8dbcb8cc","entry":"JointCNN","repo":"jiahaoLjh/PlaneSweepPose","repo_kind":"official","path":"lib/models/mvmppe.py","file_url":"https://github.com/jiahaoLjh/PlaneSweepPose/blob/HEAD/lib/models/mvmppe.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":"deterministic","behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"e441a0ff8dbcb8cc"}},{"code_sha256_prefix":"a2e26e651381ea85","entry":"PoseCNN","repo":"jiahaoLjh/PlaneSweepPose","repo_kind":"official","path":"lib/models/mvmppe.py","file_url":"https://github.com/jiahaoLjh/PlaneSweepPose/blob/HEAD/lib/models/mvmppe.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":"deterministic","behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"a2e26e651381ea85"}},{"code_sha256_prefix":"2541e2a5d1dc76f9","entry":"SoftArgMax","repo":"jiahaoLjh/PlaneSweepPose","repo_kind":"official","path":"lib/models/mvmppe.py","file_url":"https://github.com/jiahaoLjh/PlaneSweepPose/blob/HEAD/lib/models/mvmppe.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"2541e2a5d1dc76f9"}},{"code_sha256_prefix":"a29c52185d0b6e36","entry":"torch_back_project_point","repo":"jiahaoLjh/PlaneSweepPose","repo_kind":"official","path":"lib/models/mvmppe.py","file_url":"https://github.com/jiahaoLjh/PlaneSweepPose/blob/HEAD/lib/models/mvmppe.py","link_basis":"first_harvest_node","language":"python","status":"ran_fixture","verification_level":1,"contract_check":"RAISES","metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"a29c52185d0b6e36"}},{"code_sha256_prefix":"e9e64cecb7168c61","entry":"torch_project_point","repo":"jiahaoLjh/PlaneSweepPose","repo_kind":"official","path":"lib/models/mvmppe.py","file_url":"https://github.com/jiahaoLjh/PlaneSweepPose/blob/HEAD/lib/models/mvmppe.py","link_basis":"first_harvest_node","language":"python","status":"ran_fixture","verification_level":1,"contract_check":"RAISES","metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"e9e64cecb7168c61"}},{"code_sha256_prefix":"69f36ea163abdf52","entry":"torch_unfold_camera_param","repo":"jiahaoLjh/PlaneSweepPose","repo_kind":"official","path":"lib/models/mvmppe.py","file_url":"https://github.com/jiahaoLjh/PlaneSweepPose/blob/HEAD/lib/models/mvmppe.py","link_basis":"first_harvest_node","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"OUTPUT_MISDECLARED","metamorphic_tier":"deterministic","behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"69f36ea163abdf52"}},{"code_sha256_prefix":"3d720292b6c7f203","entry":"MultiViewMultiPersonPoseNet","repo":"jiahaoLjh/PlaneSweepPose","repo_kind":"official","path":"lib/models/mvmppe.py","file_url":"https://github.com/jiahaoLjh/PlaneSweepPose/blob/HEAD/lib/models/mvmppe.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"3d720292b6c7f203"}},{"code_sha256_prefix":"fd94ab017d8d8274","entry":"torch_back_project_pose","repo":"jiahaoLjh/PlaneSweepPose","repo_kind":"official","path":"lib/models/mvmppe.py","file_url":"https://github.com/jiahaoLjh/PlaneSweepPose/blob/HEAD/lib/models/mvmppe.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"fd94ab017d8d8274"}},{"code_sha256_prefix":"727d8abe1dd585d8","entry":"torch_project_pose","repo":"jiahaoLjh/PlaneSweepPose","repo_kind":"official","path":"lib/models/mvmppe.py","file_url":"https://github.com/jiahaoLjh/PlaneSweepPose/blob/HEAD/lib/models/mvmppe.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"727d8abe1dd585d8"}}]},"arxiv_metadata":null,"syntology_extracted_results":null}