task_path stringlengths 3 199 ⌀ | dataset stringlengths 1 128 ⌀ | model_name stringlengths 1 223 ⌀ | paper_url stringlengths 21 601 ⌀ | metric_name stringlengths 1 50 ⌀ | metric_value stringlengths 1 9.22k ⌀ |
|---|---|---|---|---|---|
3D Human Pose Estimation | Human3.6M | LoCO | https://arxiv.org/abs/2004.00329v1 | Using 2D ground-truth joints | No |
3D Human Pose Estimation | Human3.6M | LoCO | https://arxiv.org/abs/2004.00329v1 | Multi-View or Monocular | Monocular |
3D Human Pose Estimation | Human3.6M | LoCO | https://arxiv.org/abs/2004.00329v1 | PA-MPJPE | 43.4 |
3D Human Pose Estimation | Human3.6M | VideoPose3D (T=1) | http://arxiv.org/abs/1811.11742v2 | Average MPJPE (mm) | 51.8 |
3D Human Pose Estimation | Human3.6M | VideoPose3D (T=1) | http://arxiv.org/abs/1811.11742v2 | Using 2D ground-truth joints | No |
3D Human Pose Estimation | Human3.6M | VideoPose3D (T=1) | http://arxiv.org/abs/1811.11742v2 | Multi-View or Monocular | Monocular |
3D Human Pose Estimation | Human3.6M | VideoPose3D (T=1) | http://arxiv.org/abs/1811.11742v2 | PA-MPJPE | 40 |
3D Human Pose Estimation | Human3.6M | Graph Stacked Hourglass Network (CPN) | https://arxiv.org/abs/2103.16385v1 | Average MPJPE (mm) | 51.9 |
3D Human Pose Estimation | Human3.6M | Graph Stacked Hourglass Network (CPN) | https://arxiv.org/abs/2103.16385v1 | Using 2D ground-truth joints | No |
3D Human Pose Estimation | Human3.6M | Graph Stacked Hourglass Network (CPN) | https://arxiv.org/abs/2103.16385v1 | Multi-View or Monocular | Monocular |
3D Human Pose Estimation | Human3.6M | Pose Consensus (monocular) | https://arxiv.org/abs/1911.09245v3 | Average MPJPE (mm) | 52 |
3D Human Pose Estimation | Human3.6M | Pose Consensus (monocular) | https://arxiv.org/abs/1911.09245v3 | Using 2D ground-truth joints | No |
3D Human Pose Estimation | Human3.6M | Pose Consensus (monocular) | https://arxiv.org/abs/1911.09245v3 | Multi-View or Monocular | Monocular |
3D Human Pose Estimation | Human3.6M | MöbiusGCN | https://arxiv.org/abs/2203.10554v1 | Average MPJPE (mm) | 52.1 |
3D Human Pose Estimation | Human3.6M | MöbiusGCN | https://arxiv.org/abs/2203.10554v1 | Using 2D ground-truth joints | No |
3D Human Pose Estimation | Human3.6M | MöbiusGCN | https://arxiv.org/abs/2203.10554v1 | Multi-View or Monocular | Monocular |
3D Human Pose Estimation | Human3.6M | PoseLifter | https://arxiv.org/abs/1910.12029v2 | Average MPJPE (mm) | 52.5 |
3D Human Pose Estimation | Human3.6M | PoseLifter | https://arxiv.org/abs/1910.12029v2 | Using 2D ground-truth joints | No |
3D Human Pose Estimation | Human3.6M | PoseLifter | https://arxiv.org/abs/1910.12029v2 | Multi-View or Monocular | Monocular |
3D Human Pose Estimation | Human3.6M | PoseLifter | https://arxiv.org/abs/1910.12029v2 | PA-MPJPE | 39.1 |
3D Human Pose Estimation | Human3.6M | MDN | http://arxiv.org/abs/1904.05547v1 | Average MPJPE (mm) | 52.7 |
3D Human Pose Estimation | Human3.6M | MDN | http://arxiv.org/abs/1904.05547v1 | Using 2D ground-truth joints | No |
3D Human Pose Estimation | Human3.6M | MDN | http://arxiv.org/abs/1904.05547v1 | Multi-View or Monocular | Monocular |
3D Human Pose Estimation | Human3.6M | MDN | http://arxiv.org/abs/1904.05547v1 | PA-MPJPE | 42.6 |
3D Human Pose Estimation | Human3.6M | ONS LCN | http://openaccess.thecvf.com/content_ICCV_2019/html/Ci_Optimizing_Network_Structure_for_3D_Human_Pose_Estimation_ICCV_2019_paper.html | Average MPJPE (mm) | 52.7 |
3D Human Pose Estimation | Human3.6M | ONS LCN | http://openaccess.thecvf.com/content_ICCV_2019/html/Ci_Optimizing_Network_Structure_for_3D_Human_Pose_Estimation_ICCV_2019_paper.html | Using 2D ground-truth joints | No |
3D Human Pose Estimation | Human3.6M | ONS LCN | http://openaccess.thecvf.com/content_ICCV_2019/html/Ci_Optimizing_Network_Structure_for_3D_Human_Pose_Estimation_ICCV_2019_paper.html | Multi-View or Monocular | Monocular |
3D Human Pose Estimation | Human3.6M | SemGCN | https://arxiv.org/abs/1904.03345v3 | Average MPJPE (mm) | 57.6 |
3D Human Pose Estimation | Human3.6M | SemGCN | https://arxiv.org/abs/1904.03345v3 | Using 2D ground-truth joints | No |
3D Human Pose Estimation | Human3.6M | SemGCN | https://arxiv.org/abs/1904.03345v3 | Multi-View or Monocular | Monocular |
3D Human Pose Estimation | Human3.6M | Stereoscopic View Synthesis Subnetwork | http://arxiv.org/abs/1904.05512v1 | Average MPJPE (mm) | 58 |
3D Human Pose Estimation | Human3.6M | Stereoscopic View Synthesis Subnetwork | http://arxiv.org/abs/1904.05512v1 | Using 2D ground-truth joints | No |
3D Human Pose Estimation | Human3.6M | Stereoscopic View Synthesis Subnetwork | http://arxiv.org/abs/1904.05512v1 | Multi-View or Monocular | Multi-View |
3D Human Pose Estimation | Human3.6M | Sequence-to-sequence network | http://arxiv.org/abs/1711.08585v4 | Average MPJPE (mm) | 58.5 |
3D Human Pose Estimation | Human3.6M | Sequence-to-sequence network | http://arxiv.org/abs/1711.08585v4 | Using 2D ground-truth joints | No |
3D Human Pose Estimation | Human3.6M | Sequence-to-sequence network | http://arxiv.org/abs/1711.08585v4 | Multi-View or Monocular | Monocular |
3D Human Pose Estimation | Human3.6M | TAPE (T=16) | https://arxiv.org/abs/2305.00181v1 | Average MPJPE (mm) | 60 |
3D Human Pose Estimation | Human3.6M | TAPE (T=16) | https://arxiv.org/abs/2305.00181v1 | Using 2D ground-truth joints | No |
3D Human Pose Estimation | Human3.6M | TAPE (T=16) | https://arxiv.org/abs/2305.00181v1 | Multi-View or Monocular | Monocular |
3D Human Pose Estimation | Human3.6M | TAPE (T=16) | https://arxiv.org/abs/2305.00181v1 | PA-MPJPE | 39.5 |
3D Human Pose Estimation | Human3.6M | TAPE (T=16) | https://arxiv.org/abs/2305.00181v1 | Acceleration Error | 6.5 |
3D Human Pose Estimation | Human3.6M | Probabilistic Monocular (T=1) | https://arxiv.org/abs/2107.13788v2 | Average MPJPE (mm) | 61.8 |
3D Human Pose Estimation | Human3.6M | Probabilistic Monocular (T=1) | https://arxiv.org/abs/2107.13788v2 | Using 2D ground-truth joints | No |
3D Human Pose Estimation | Human3.6M | Probabilistic Monocular (T=1) | https://arxiv.org/abs/2107.13788v2 | Multi-View or Monocular | Monocular |
3D Human Pose Estimation | Human3.6M | 2D-3D Lifting self-supervised | https://arxiv.org/abs/2108.07777v1 | Average MPJPE (mm) | 62.0 |
3D Human Pose Estimation | Human3.6M | 2D-3D Lifting self-supervised | https://arxiv.org/abs/2108.07777v1 | Using 2D ground-truth joints | No |
3D Human Pose Estimation | Human3.6M | 2D-3D Lifting self-supervised | https://arxiv.org/abs/2108.07777v1 | Multi-View or Monocular | Multi-View |
3D Human Pose Estimation | Human3.6M | SIM (SH detections FT) (MA) | http://arxiv.org/abs/1705.03098v2 | Average MPJPE (mm) | 62.9 |
3D Human Pose Estimation | Human3.6M | SIM (SH detections FT) (MA) | http://arxiv.org/abs/1705.03098v2 | Using 2D ground-truth joints | No |
3D Human Pose Estimation | Human3.6M | SIM (SH detections FT) (MA) | http://arxiv.org/abs/1705.03098v2 | Multi-View or Monocular | Monocular |
3D Human Pose Estimation | Human3.6M | VoxelKeypointFusion (transfer) | https://arxiv.org/abs/2410.18723v3 | Average MPJPE (mm) | 64.3 |
3D Human Pose Estimation | Human3.6M | VoxelKeypointFusion (transfer) | https://arxiv.org/abs/2410.18723v3 | Using 2D ground-truth joints | No |
3D Human Pose Estimation | Human3.6M | VoxelKeypointFusion (transfer) | https://arxiv.org/abs/2410.18723v3 | Multi-View or Monocular | Multi-View |
3D Human Pose Estimation | Human3.6M | VIBE | https://arxiv.org/abs/1912.05656v3 | Average MPJPE (mm) | 65.6 |
3D Human Pose Estimation | Human3.6M | VIBE | https://arxiv.org/abs/1912.05656v3 | Using 2D ground-truth joints | No |
3D Human Pose Estimation | Human3.6M | VIBE | https://arxiv.org/abs/1912.05656v3 | Multi-View or Monocular | Monocular |
3D Human Pose Estimation | Human3.6M | VIBE | https://arxiv.org/abs/1912.05656v3 | PA-MPJPE | 41.4 |
3D Human Pose Estimation | Human3.6M | CanonPose | https://arxiv.org/abs/2011.14679v1 | Average MPJPE (mm) | 74.3 |
3D Human Pose Estimation | Human3.6M | CanonPose | https://arxiv.org/abs/2011.14679v1 | Using 2D ground-truth joints | No |
3D Human Pose Estimation | Human3.6M | CanonPose | https://arxiv.org/abs/2011.14679v1 | Multi-View or Monocular | MultiView |
3D Human Pose Estimation | JTA | Dual network | https://arxiv.org/abs/2205.00748v3 | F1(t=0.4m) | 58.15 |
3D Human Pose Estimation | JTA | Dual network | https://arxiv.org/abs/2205.00748v3 | F1(t=0.8m) | 69.32 |
3D Human Pose Estimation | JTA | Dual network | https://arxiv.org/abs/2205.00748v3 | F1(t=1.2m) | 74.19 |
3D Human Pose Estimation | SLOPER4D | LiDAR-HMR | https://arxiv.org/abs/2311.11971v1 | Average MPJPE (mm) | 50.70 |
3D Human Pose Estimation | SLOPER4D | Graphormer | https://arxiv.org/abs/2311.11971v1 | Average MPJPE (mm) | 77.1 |
3D Human Pose Estimation | SLOPER4D | LiDARCap | https://arxiv.org/abs/2203.14698v1 | Average MPJPE (mm) | 79.17 |
3D Human Pose Estimation | SLOPER4D | LiDARCap | https://arxiv.org/abs/2203.14698v1 | Average MPJPE (mm) | 86.06 |
3D Human Pose Estimation | Waymo Open Dataset | VoxelKP | https://arxiv.org/abs/2312.08871v1 | MPJPE | 8.87 |
3D Human Pose Estimation | Total Capture | AdaFuse | https://arxiv.org/abs/2010.13302v1 | Average MPJPE (mm) | 19.2 |
3D Human Pose Estimation | Total Capture | AdaDeepFuse | https://arxiv.org/abs/2208.11960v1 | Average MPJPE (mm) | 22.5 |
3D Human Pose Estimation | Total Capture | GeoFuse | https://arxiv.org/abs/2003.11163v2 | Average MPJPE (mm) | 24.6 |
3D Human Pose Estimation | Total Capture | LWCDR | https://arxiv.org/abs/2004.02186v2 | Average MPJPE (mm) | 27.5 |
3D Human Pose Estimation | Total Capture | DeepFuse-IMU | https://arxiv.org/abs/1912.04071v1 | Average MPJPE (mm) | 28.9 |
3D Human Pose Estimation | Total Capture | Fusion-RPSM | https://arxiv.org/abs/1909.01203v1 | Average MPJPE (mm) | 29.0 |
3D Human Pose Estimation | Total Capture | MTF-Transformer (M=0.4, T=7) | https://arxiv.org/abs/2110.05092v2 | Average MPJPE (mm) | 29.2 |
3D Human Pose Estimation | Total Capture | DeepFuse-Vision Only | https://arxiv.org/abs/1912.04071v1 | Average MPJPE (mm) | 32.7 |
3D Human Pose Estimation | Total Capture | AutoEnc | http://arxiv.org/abs/1807.01511v1 | Average MPJPE (mm) | 35 |
3D Human Pose Estimation | Total Capture | Single-RPSM | https://arxiv.org/abs/1909.01203v1 | Average MPJPE (mm) | 41.0 |
3D Human Pose Estimation | Total Capture | IMUPVH | https://cvssp.org/projects/totalcapture/TotalCapture/ | Average MPJPE (mm) | 70 |
3D Human Pose Estimation | Total Capture | Tri-CPM | http://arxiv.org/abs/1602.00134v4 | Average MPJPE (mm) | 99 |
3D Human Pose Estimation | Total Capture | PVH | https://cvssp.org/projects/totalcapture/TotalCapture/ | Average MPJPE (mm) | 107 |
3D Human Pose Estimation | Total Capture | ROS node wrapping | http://arxiv.org/abs/1803.02622v2 | Average MPJPE (mm) | 112 |
3D Human Pose Estimation | AIST++ | RobustCap | https://arxiv.org/abs/2309.00310v1 | MPJPE | 33.1 |
3D Human Pose Estimation | AIST++ | HybridCap | https://arxiv.org/abs/2203.09287v2 | MPJPE | 33.3 |
3D Human Pose Estimation | AIST++ | SPIN + HANet (T=51) | https://arxiv.org/abs/2211.15868v1 | MPJPE | 64.3 |
3D Human Pose Estimation | AIST++ | SPIN + HANet (T=51) | https://arxiv.org/abs/2211.15868v1 | Acceleration Error | 6.4 |
3D Human Pose Estimation | AIST++ | DeciWatch | https://arxiv.org/abs/2203.08713v2 | MPJPE | 67.2 |
3D Human Pose Estimation | AIST++ | DeciWatch | https://arxiv.org/abs/2203.08713v2 | Single-view | Y |
3D Human Pose Estimation | AIST++ | SPIN + HANet (T=101) | https://arxiv.org/abs/2211.15868v1 | MPJPE | 69.2 |
3D Human Pose Estimation | AIST++ | SPIN + HANet (T=101) | https://arxiv.org/abs/2211.15868v1 | Acceleration Error | 5.4 |
3D Human Pose Estimation | Geometric Pose Affordance | ResNet-F | https://arxiv.org/abs/1905.07718v2 | PCK3D (CS) | 82.0 |
3D Human Pose Estimation | Geometric Pose Affordance | ResNet-F | https://arxiv.org/abs/1905.07718v2 | PCK3D (CA) | 84.8 |
3D Human Pose Estimation | Geometric Pose Affordance | ResNet-F | https://arxiv.org/abs/1905.07718v2 | MPJPE (CS) | 97.8 |
3D Human Pose Estimation | Geometric Pose Affordance | ResNet-F | https://arxiv.org/abs/1905.07718v2 | MPJPE (CA) | 85.6 |
3D Human Pose Estimation | Geometric Pose Affordance | ResNet-F | https://arxiv.org/abs/1905.07718v2 | MPJPE | 94.1 |
3D Human Pose Estimation | Geometric Pose Affordance | ResNet-F | https://arxiv.org/abs/1905.07718v2 | PCK | 82.9 |
3D Human Pose Estimation | Geometric Pose Affordance | Cross Dataset Generalization | https://arxiv.org/abs/2004.03143v1 | MPJPE | 53.3 |
3D Human Pose Estimation | RICH | UPose3D (eval only) | https://arxiv.org/abs/2404.14634v3 | MPJPE | 34.7 |
3D Human Pose Estimation | RICH | UPose3D (eval only) | https://arxiv.org/abs/2404.14634v3 | PA-MPJPE | 32 |
3D Human Pose Estimation | RICH | SkelFormer (HRNet - eval only) | https://arxiv.org/abs/2404.12625v1 | MPJPE | 44.2 |
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