Egocentric Pose Estimation

Benchmarks archive 2025-07-28

4 leaderboard tables shown for this task, 4 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

6 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

11 shown of 11 papers with code (21 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.

• EventEgo3D: 3D Human Motion Capture from Egocentric Event Streams
  12 Apr 2024 1 repository listed
  In response to the existing limitations, this paper 1) introduces a new problem, i.
• A Survey on 3D Egocentric Human Pose Estimation
  26 Mar 2024 1 repository listed
  Egocentric human pose estimation aims to estimate human body poses and develop body representations from a first-person camera perspective.
• EgoPoseFormer: A Simple Baseline for Stereo Egocentric 3D Human Pose Estimation
  26 Mar 2024 1 repository listed
  We also show that our method can be seamlessly extended to monocular settings, which achieves state-of-the-art performance on the SceneEgo dataset, improving MPJPE by 25.
• Attention-Propagation Network for Egocentric Heatmap to 3D Pose Lifting
  28 Feb 2024 1 repository listed
  We propose a novel heatmap-to-3D lifting method composed of the Grid ViT Encoder and the Propagation Network.
• Ego3DPose: Capturing 3D Cues from Binocular Egocentric Views
  21 Sep 2023 1 repository listed
  We propose a new perspective-aware representation using trigonometry, enabling the network to estimate the 3D orientation of limbs.
• Pose Constraints for Consistent Self-supervised Monocular Depth and Ego-motion
  18 Apr 2023 1 repository listed
  Self-supervised monocular depth estimation approaches suffer not only from scale ambiguity but also infer temporally inconsistent depth maps w.
• Scene-aware Egocentric 3D Human Pose Estimation
  20 Dec 2022 1 repository listed Syntology ran 3 of 4 samples · 1 unverified · 4 pointer-only (licence)
  To this end, we propose an egocentric depth estimation network to predict the scene depth map from a wide-view egocentric fisheye camera while mitigating the occlusion of the human body with a depth-inpainting network.
• Dynamics-Regulated Kinematic Policy for Egocentric Pose Estimation
  10 Jun 2021 1 repository listed Syntology ran 0 of 2 samples · 2 unverified
  By comparing the pose instructed by the kinematic model against the pose generated by the dynamics model, we can use their misalignment to further improve the kinematic model.
• Estimating Egocentric 3D Human Pose in Global Space
  27 Apr 2021 1 repository listed Syntology ran 5 of 6 samples · 1 unverified · 6 pointer-only (licence)
  Furthermore, these methods suffer from limited accuracy and temporal instability due to ambiguities caused by the monocular setup and the severe occlusion in a strongly distorted egocentric perspective.
• SelfPose: 3D Egocentric Pose Estimation from a Headset Mounted Camera
  2 Nov 2020 1 repository listed
  The quantitative evaluation, on synthetic and real-world datasets, shows that our strategy leads to substantial improvements in accuracy over state of the art egocentric approaches.
• Ego-Pose Estimation and Forecasting as Real-Time PD Control
  7 Jun 2019 1 repository listed
  We propose the use of a proportional-derivative (PD) control based policy learned via reinforcement learning (RL) to estimate and forecast 3D human pose from egocentric videos.

Syntology lines on 3 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.