Browse State-of-the-Art › 3D Absolute Human Pose Estimation
3D Absolute Human Pose Estimation
9 papers with code · 3 benchmarks · 6 datasets archive 2025-07-28
This task aims to solve absolute (camera-centric not root-relative) 3D human pose estimation.
( Image credit: RootNet )
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
3 leaderboard tables shown for this task, 3 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.
| Dataset | Best model (first row in archive order) | Paper | Code | Syntology | Compare |
|---|---|---|---|---|---|
| Human3.6M (4 rows) | GnTCN | Graph and Temporal Convolutional Networks for 3D Multi-person Pose... | code | — | Compare |
| Surreal (1 row) | DynaBOA | Out-of-Domain Human Mesh Reconstruction via Dynamic Bilevel Online... | code | — | Compare |
| Total Capture (1 row) | GeoFuse | Fusing Wearable IMUs with Multi-View Images for Human Pose... | code | Syntology ran 3 of 3 samples · 0 unverified | Compare |
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
4 subtasks in the archive's task tree.
Parent tasks archive 2025-07-28
Most implemented papers archive 2025-07-28
9 shown of 9 papers with code (13 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.
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20 Nov 2016 13 repositories listed Syntology ran 1 of 7 samples · 6 unverified · 1 pointer-only (licence)Recently, very deep convolutional neural networks (CNNs) have shown outstanding performance in object recognition and have also been the first choice for dense classification problems such as semantic segmentation.
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26 Jul 2019 4 repositories listed Syntology ran 1 of 7 samples · 6 unverifiedAlthough significant improvement has been achieved recently in 3D human pose estimation, most of the previous methods only treat a single-person case.
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14 Jul 2022 2 repositories listed Syntology ran 1 of 3 samples · 2 unverified · 2 pointer-only (licence)We present XMem, a video object segmentation architecture for long videos with unified feature memory stores inspired by the Atkinson-Shiffrin memory model.
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7 Nov 2021 1 repository listedWe consider a new problem of adapting a human mesh reconstruction model to out-of-domain streaming videos, where performance of existing SMPL-based models are significantly affected by the distribution shift represented…
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6 Sep 2021 1 repository listed Syntology ran 0 of 18 samples · 18 unverifiedTo this end, we propose Multi-level Attention Encoder-Decoder Network (MAED), including a Spatial-Temporal Encoder (STE) and a Kinematic Topology Decoder (KTD) to model multi-level attentions in a unified framework.
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22 Dec 2020 1 repository listedTo 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…
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17 Dec 2020 1 repository listedWe present a new method, called MEsh TRansfOrmer (METRO), to reconstruct 3D human pose and mesh vertices from a single image.
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12 Jul 2020 1 repository listedHeatmap representations have formed the basis of human pose estimation systems for many years, and their extension to 3D has been a fruitful line of recent research.
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25 Mar 2020 1 repository listed Syntology ran 3 of 3 samples · 0 unverifiedThen we lift the multi-view 2D poses to the 3D space by an Orientation Regularized Pictorial Structure Model (ORPSM) which jointly minimizes the projection error between the 3D and 2D poses, along with the discrepancy…
Syntology lines on 5 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.
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