Root Joint Localization

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

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.

Most implemented papers archive 2025-07-28

3 shown of 3 papers with code (3 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.

• 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.
• 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…
• 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.

Syntology lines on 1 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.