Browse › Computer Vision › Monocular 3D Human Pose Estimation › Human3.6M
Human3.6M Benchmark (Monocular 3D Human Pose Estimation)
This task targets at 3D human pose estimation with a single RGB camera.
The archive carries no text for this table; the description above is the archive's text for the task Monocular 3D Human Pose Estimation. archive 2025-07-28
Over time archive 2025-07-28
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Not inferred: Average MPJPE (mm), Use Video Sequence, Frames Needed, Need Ground Truth 2D Pose, PA-MPJPE, 2D detector. Points are placed at the row's paper date; 52 of 52 rows carry one.
Results archive 2025-07-28
Archive rows end at the archive snapshot, 2025-07-28: no result published after that date is in this table. Rank is the archive's row order at that snapshot; not re-ranked here. Metric values are the archive's strings. Column headers sort the table in your browser; each row keeps its archive rank.
| Paper | Code | Ran Syntology | Report | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | MotionBERT (Finetune) | 37.5 | Yes | 243 | No | SH | ✓ | Paper | Code | 2022 | 5 of 11 ran · 6 unverified | report | |
| 2 | MotionAGFormer-L | 38.4 | Yes | 243 | No | SH | – | Paper | Code | 2023 | 14 of 16 ran · 2 unverified | report | |
| 3 | MotionAGFormer-B | 38.4 | Yes | 243 | No | SH | – | Paper | Code | 2023 | 14 of 16 ran · 2 unverified | report | |
| 4 | MotionBERT (Scratch) | 39.2 | Yes | 243 | No | SH | – | Paper | Code | 2022 | 5 of 11 ran · 6 unverified | report | |
| 5 | D3DP | 39.5 | Yes | 243 | No | CPN | – | Paper | Code | 2023 | 0 of 2 ran · 2 unverified | report | |
| 6 | DDHPose | 39.7 | Yes | 243 | No | CPN | – | Paper | Code | 2024 | linked, not harvested | report | |
| 7 | MixSTE (HRNet, T=243) | 39.8 | Yes | 243 | No | HRNet | – | Paper | Code | 2022 | 4 of 4 ran · 0 unverified | report | |
| 8 | HEMlets Pose (H36M+MPII) | 39.9 | 1 | 27.9 | – | Paper | – | 2019 | no code linked | report | |||
| 9 | Spatio-Temporal Network (T=128) | 40.1 | Yes | 128 | No | 30.7 | – | Paper | – | 2020 | no code linked | report | |
| 10 | KTPFormer | 40.1 | Yes | 243 | No | CPN | – | Paper | Code | 2024 | 6 of 10 ran · 4 unverified | report | |
| 11 | GenHMR | 41.2 | 29.8 | – | Paper | – | 2024 | no code linked | report | ||||
| 12 | P-STMO (N=243) | 42.1 | Yes | 243 | No | CPN | – | Paper | Code | 2022 | 9 of 11 ran · 2 unverified | report | |
| 13 | MotionAGFormer-S | 42.5 | Yes | 81 | No | SH | – | Paper | Code | 2023 | 14 of 16 ran · 2 unverified | report | |
| 14 | Anatomy3D | 44.1 | Yes | 243 | No | CPN | – | Paper | Code | 2020 | linked, not harvested | report | |
| 15 | PoseFormer (T=81) | 44.3 | 81 | CPN | – | Paper | Code | 2021 | 4 of 8 ran · 4 unverified | report | |||
| 16 | RIE (T=243 CPN) | 44.3 | Yes | 243 | No | CPN | – | Paper | Code | 2021 | linked, not harvested | report | |
| 17 | MotionAGFormer-XS | 45.1 | Yes | 27 | No | SH | – | Paper | Code | 2023 | 14 of 16 ran · 2 unverified | report | |
| 18 | Attention3DHumanPose | 45.1 | Yes | 243 | No | CPN | – | Paper | Code | 2020 | linked, not harvested | report | |
| 19 | Trajectory Space Factorization (50 frames) | 46.6 | Yes | 50 | No | – | Paper | Code | 2019 | linked, not harvested | report | ||
| 20 | VideoPose3D (T=243) | 46.8 | Yes | 243 | No | CPN | – | Paper | Code | 2018 | 0 of 2 ran · 2 unverified | report | |
| 21 | PointHMR | 48.3 | 32.9 | ✓ | Paper | Code | 2023 | 5 of 8 ran · 3 unverified | report | ||||
| 22 | SRNET | 49.9 | No | 1 | No | – | Paper | Code | 2020 | 1 of 9 ran · 8 unverified | report | ||
| 23 | HR-Net+VPose+PoseAug | 50.2 | 39.1 | – | Paper | Code | 2021 | linked, not harvested | report | ||||
| 24 | TAG-Net | 50.9 | No | 1 | No | – | Paper | Code | 2020 | 2 of 2 ran · 0 unverified | report | ||
| 25 | cross-dataset-evaluation | 52.0 | No | 1 | No | ✓ | Paper | – | 2020 | no code linked | report | ||
| 26 | TP-Net | 52.1 | Yes | 20 | No | – | Paper | Code | 2017 | linked, not harvested | report | ||
| 27 | Multimodal Mixture Density Networks | 52.7 | No | 1 | No | – | Paper | Code | 2019 | 1 of 11 ran · 10 unverified | report | ||
| 28 | SemGCN | 57.6 | No | 1 | No | – | Paper | Code | 2019 | 2 of 8 ran · 6 unverified | report | ||
| 29 | MultiPoseNet | 58.0 | No | 1 | No | – | Paper | Code | 2019 | 0 of 3 ran · 3 unverified | report | ||
| 30 | Monocular Total Capture | 58.3 | NO | 1 | No | – | Paper | Code | 2018 | linked, not harvested | report | ||
| 31 | SIM (SH detections FT) (MA) | 62.9 | No | 1 | No | – | Paper | Code | 2017 | 5 of 7 ran · 2 unverified | report | ||
| 32 | Bundle Adjustment (GTi) | 63.3 | – | Paper | Code | 2019 | 0 of 3 ran · 3 unverified | report | |||||
| 33 | SelecSLS | 63.6 | No | 1 | No | – | Paper | Code | 2019 | linked, not harvested | report | ||
| 34 | Weakly Supervised Transfer Learning | 64.9 | No | 1 | No | – | Paper | Code | 2017 | linked, not harvested | report | ||
| 35 | VIBE | 65.6 | Yes | 16 | No | – | Paper | Code | 2019 | 0 of 1 ran · 1 unverified | report | ||
| 36 | GraphCMR | 74.7 | No | 1 | No | – | Paper | Code | 2019 | 2 of 7 ran · 5 unverified | report | ||
| 37 | Projected-pose belief maps + 2D fusion layers | 88.39 | No | 1 | No | – | Paper | Code | 2017 | linked, not harvested | report | ||
| 38 | RepNet | 89.9 | No | 1 | No | – | Paper | Code | 2019 | linked, not harvested | report | ||
| 39 | Dual-source approach | 97.39 | No | 1 | No | – | Paper | – | 2017 | no code linked | report | ||
| 40 | Sparseness Meets Deepness | 113.01 | Yes | 300 | No | – | Paper | Code | 2015 | linked, not harvested | report | ||
| 41 | HMR | No | 1 | No | – | Paper | Code | 2017 | linked, not harvested | report | |||
| 42 | Neural Body Fitting (NBF) | No | 1 | No | – | Paper | Code | 2018 | 1 of 1 ran · 0 unverified | report | |||
| 43 | SMPLify (dense) | No | 1 | No | – | Paper | Code | 2017 | 1 of 1 ran · 0 unverified | report | |||
| 44 | Ordinal Depth Supervision | No | 1 | No | – | Paper | Code | 2018 | linked, not harvested | report | |||
| 45 | Adversarial Learning | No | 1 | No | – | Paper | – | 2018 | no code linked | report | |||
| 46 | Moon et. al. | No | 1 | No | – | Paper | Code | 2019 | 1 of 7 ran · 6 unverified | report | |||
| 47 | PoseAug | No | 1 | No | – | Paper | Code | 2021 | linked, not harvested | report | |||
| 48 | HEMlets Pose | No | 1 | No | ✓ | Paper | – | 2019 | no code linked | report | |||
| 49 | Ray3D | Yes | 9 | No | – | Paper | Code | 2022 | 4 of 5 ran · 1 unverified | report | |||
| 50 | Bundle Adjustment | Yes | 190 | No | – | Paper | Code | 2019 | 0 of 3 ran · 3 unverified | report | |||
| 51 | Neural Body Fitting (NBF) | 59.9 | – | Paper | Code | 2018 | 1 of 1 ran · 0 unverified | report | |||||
| 52 | SMPLify (dense) | 80.7 | – | Paper | Code | 2017 | 1 of 1 ran · 0 unverified | report |
All 52 rows shown. 52 link to a paper page on this site; 4 are marked as using additional training data in the archive. No GitHub stars are tracked; "Code" is the first repository the archive lists for the row. The archive carries no row tags, review links or community-submitted rows for this table; none are shown. archive 2025-07-28
Syntology Ran reads "N of M ran · U unverified": of the M code samples Syntology harvested from repositories linked to that row's paper (joined by arXiv id), N executed on a synthesized input and the other U = M−N are unverified (harvested, no recorded run). It counts code from repositories linked to that row's paper, not this result: the row's number was not reproduced and nothing here is a correctness claim. The other cell texts mean no graph line for the row: "linked, not harvested" (the archive links code, Syntology has not harvested it), "no code linked" (no code link in the archive), "not matched" (the row's paper URL matched no paper on this site). 29 rows have a graph line, from 22 distinct papers; 23 rows (17 papers) have at least one sample that ran. Counting each paper once: Syntology ran 67 of 137 samples; 70 unverified. Separately, 28 of those 137 are pointer-only (licence): the site points at that code rather than redistributing it, a licence property recorded for ran and unverified samples alike; each cell's tooltip carries the row's own pointer-only count. Read from the graph 2026-09-24. Per-sample status is on the paper page.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections