Unsupervised 3D Human Pose Estimation

Benchmarks archive 2025-07-28

2 leaderboard tables shown for this task, 2 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

2 datasets 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

7 shown of 7 papers with code (15 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.

• CLIFF: Carrying Location Information in Full Frames into Human Pose and Shape Estimation
  1 Aug 2022 6 repositories listed Syntology ran 0 of 3 samples · 3 unverified
  Top-down methods dominate the field of 3D human pose and shape estimation, because they are decoupled from human detection and allow researchers to focus on the core problem.
• Mask as Supervision: Leveraging Unified Mask Information for Unsupervised 3D Pose Estimation
  12 Dec 2023 1 repository listed
  Automatic estimation of 3D human pose from monocular RGB images is a challenging and unsolved problem in computer vision.
• Occluded Human Body Capture with Self-Supervised Spatial-Temporal Motion Prior
  12 Jul 2022 1 repository listed
  To address the obstacles, our key-idea is to employ non-occluded human data to learn a joint-level spatial-temporal motion prior for occluded human with a self-supervised strategy.
• ElePose: Unsupervised 3D Human Pose Estimation by Predicting Camera Elevation and Learning Normalizing Flows on 2D Poses
  14 Dec 2021 1 repository listed
  Human pose estimation from single images is a challenging problem that is typically solved by supervised learning.
• Unsupervised 3D Pose Estimation for Hierarchical Dance Video Recognition
  19 Sep 2021 1 repository listed
  Dance experts often view dance as a hierarchy of information, spanning low-level (raw images, image sequences), mid-levels (human poses and bodypart movements), and high-level (dance genre).
• Invariant Teacher and Equivariant Student for Unsupervised 3D Human Pose Estimation
  17 Dec 2020 1 repository listed
  To handle the decomposition ambiguity in the teacher network, we propose a cycle-consistent architecture promoting a 3D rotation-invariant property to train the teacher network.
• Unsupervised Cross-Modal Alignment for Multi-Person 3D Pose Estimation
  4 Aug 2020 1 repository listed
  Our approach not only generalizes to in-the-wild images, but also yields a superior trade-off between speed and performance, compared to prior top-down approaches.

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.