3D Multi-Person Pose Estimation (root-relative)

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

1 leaderboard table shown for this task, 1 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

1 dataset whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

11 shown of 11 papers with code (18 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Towards 3D Human Pose Estimation in the Wild: a Weakly-supervised Approach
  8 Apr 2017 6 repositories listed
  We propose a weakly-supervised transfer learning method that uses mixed 2D and 3D labels in a unified deep neutral network that presents two-stage cascaded structure.
• Single-Shot Multi-Person 3D Pose Estimation From Monocular RGB
  9 Dec 2017 5 repositories listed Syntology ran 1 of 2 samples · 1 unverified
  Our approach uses novel occlusion-robust pose-maps (ORPM) which enable full body pose inference even under strong partial occlusions by other people and objects in the scene.
• Camera Distance-aware Top-down Approach for 3D Multi-person Pose Estimation from a Single RGB Image
  26 Jul 2019 4 repositories listed Syntology ran 1 of 7 samples · 6 unverified
  Although significant improvement has been achieved recently in 3D human pose estimation, most of the previous methods only treat a single-person case.
• Dual networks based 3D Multi-Person Pose Estimation from Monocular Video
  2 May 2022 1 repository listed
  Most of the methods focus on single persons, which estimate the poses in the person-centric coordinates, i.
• Distribution-Aware Single-Stage Models for Multi-Person 3D Pose Estimation
  15 Mar 2022 1 repository listed Syntology ran 1 of 3 samples · 2 unverified
  In this paper, we present a novel Distribution-Aware Single-stage (DAS) model for tackling the challenging multi-person 3D pose estimation problem.
• Monocular 3D Multi-Person Pose Estimation by Integrating Top-Down and Bottom-Up Networks
  5 Apr 2021 1 repository listed Syntology ran 2 of 2 samples · 0 unverified
  Besides the integration of top-down and bottom-up networks, unlike existing pose discriminators that are designed solely for single person, and consequently cannot assess natural inter-person interactions, we propose a…
• Graph and Temporal Convolutional Networks for 3D Multi-person Pose Estimation in Monocular Videos
  22 Dec 2020 1 repository listed
  To tackle this problem, we propose a novel framework integrating graph convolutional networks (GCNs) and temporal convolutional networks (TCNs) to robustly estimate camera-centric multi-person 3D poses that do not…
• Temporal Smoothing for 3D Human Pose Estimation and Localization for Occluded People
  31 Oct 2020 1 repository listed
  In multi-person pose estimation actors can be heavily occluded, even become fully invisible behind another person.
• SMAP: Single-Shot Multi-Person Absolute 3D Pose Estimation
  26 Aug 2020 1 repository listed
  Recovering multi-person 3D poses with absolute scales from a single RGB image is a challenging problem due to the inherent depth and scale ambiguity from a single view.
• HDNet: Human Depth Estimation for Multi-Person Camera-Space Localization
  17 Jul 2020 1 repository listed
  Current works on multi-person 3D pose estimation mainly focus on the estimation of the 3D joint locations relative to the root joint and ignore the absolute locations of each pose.
• Multi-Person Absolute 3D Human Pose Estimation with Weak Depth Supervision
  8 Apr 2020 1 repository listed
  In 3D human pose estimation one of the biggest problems is the lack of large, diverse datasets.

Syntology lines on 4 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.