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 | MPI-INF-3DHP | HMR | http://arxiv.org/abs/1712.06584v2 | MPJPE | 124.2 |
3D Human Pose Estimation | MPI-INF-3DHP | HMR | http://arxiv.org/abs/1712.06584v2 | PA-MPJPE | 89.8 |
3D Human Pose Estimation | MPI-INF-3DHP | HMR | http://arxiv.org/abs/1712.06584v2 | PCK | 72.9 |
3D Human Pose Estimation | MPI-INF-3DHP | VNect (Augm.) | http://arxiv.org/abs/1705.01583v1 | AUC | 40.4 |
3D Human Pose Estimation | MPI-INF-3DHP | VNect (Augm.) | http://arxiv.org/abs/1705.01583v1 | MPJPE | 124.7 |
3D Human Pose Estimation | MPI-INF-3DHP | VNect (Augm.) | http://arxiv.org/abs/1705.01583v1 | PCK | 76.6 |
3D Human Pose Estimation | MPI-INF-3DHP | Explicit Compositional Depth Maps | https://www.researchgate.net/publication/339375538_3D_Human_Pose_Estimation_via_Explicit_Compositional_Depth_Maps | AUC | 62.4 |
3D Human Pose Estimation | MPI-INF-3DHP | Explicit Compositional Depth Maps | https://www.researchgate.net/publication/339375538_3D_Human_Pose_Estimation_via_Explicit_Compositional_Depth_Maps | PCK | 93.2 |
3D Human Pose Estimation | MPI-INF-3DHP | DC-GCT | https://arxiv.org/abs/2308.05298v1 | AUC | 55.9 |
3D Human Pose Estimation | MPI-INF-3DHP | DC-GCT | https://arxiv.org/abs/2308.05298v1 | PCK | 87.5 |
3D Human Pose Estimation | MPI-INF-3DHP | SPIN (Rigid Alignment) | https://arxiv.org/abs/1909.12828v1 | AUC | 55.6 |
3D Human Pose Estimation | MPI-INF-3DHP | SPIN (Rigid Alignment) | https://arxiv.org/abs/1909.12828v1 | PA-MPJPE | 67.5 |
3D Human Pose Estimation | MPI-INF-3DHP | SPIN (Rigid Alignment) | https://arxiv.org/abs/1909.12828v1 | PCK | 92.5 |
3D Human Pose Estimation | MPI-INF-3DHP | HTNet | https://arxiv.org/abs/2302.09790v1 | AUC | 54.1 |
3D Human Pose Estimation | MPI-INF-3DHP | HTNet | https://arxiv.org/abs/2302.09790v1 | PCK | 86.7 |
3D Human Pose Estimation | MPI-INF-3DHP | Modulated-GCN | http://openaccess.thecvf.com//content/ICCV2021/html/Zou_Modulated_Graph_Convolutional_Network_for_3D_Human_Pose_Estimation_ICCV_2021_paper.html | AUC | 53.7 |
3D Human Pose Estimation | MPI-INF-3DHP | Modulated-GCN | http://openaccess.thecvf.com//content/ICCV2021/html/Zou_Modulated_Graph_Convolutional_Network_for_3D_Human_Pose_Estimation_ICCV_2021_paper.html | PCK | 86.1 |
3D Human Pose Estimation | MPI-INF-3DHP | Regular Splitting Graph Network | https://arxiv.org/abs/2305.05785v1 | AUC | 53.2 |
3D Human Pose Estimation | MPI-INF-3DHP | Regular Splitting Graph Network | https://arxiv.org/abs/2305.05785v1 | PCK | 85.6 |
3D Human Pose Estimation | MPI-INF-3DHP | HGN | https://arxiv.org/abs/2111.11927v2 | AUC | 52.1 |
3D Human Pose Estimation | MPI-INF-3DHP | HGN | https://arxiv.org/abs/2111.11927v2 | PCK | 85.2 |
3D Human Pose Estimation | MPI-INF-3DHP | TIPSy-GAN (GT) | https://arxiv.org/abs/2205.05980v4 | AUC | 48.8 |
3D Human Pose Estimation | MPI-INF-3DHP | TIPSy-GAN (GT) | https://arxiv.org/abs/2205.05980v4 | PCK | 78 |
3D Human Pose Estimation | MPI-INF-3DHP | Skeletal GNN | https://arxiv.org/abs/2108.07181v2 | AUC | 46.2 |
3D Human Pose Estimation | MPI-INF-3DHP | Skeletal GNN | https://arxiv.org/abs/2108.07181v2 | PCK | 82.1 |
3D Human Pose Estimation | MPI-INF-3DHP | Graph Stacked Hourglass Network | https://arxiv.org/abs/2103.16385v1 | AUC | 45.8 |
3D Human Pose Estimation | MPI-INF-3DHP | Graph Stacked Hourglass Network | https://arxiv.org/abs/2103.16385v1 | PCK | 80.1 |
3D Human Pose Estimation | MPI-INF-3DHP | PoseLifter | https://arxiv.org/abs/1910.12029v2 | AUC | 45.1 |
3D Human Pose Estimation | MPI-INF-3DHP | PoseLifter | https://arxiv.org/abs/1910.12029v2 | PCK | 84 |
3D Human Pose Estimation | MPI-INF-3DHP | SRNET | https://arxiv.org/abs/2007.09389v1 | AUC | 43.8 |
3D Human Pose Estimation | MPI-INF-3DHP | SRNET | https://arxiv.org/abs/2007.09389v1 | PCK | 77.6 |
3D Human Pose Estimation | MPI-INF-3DHP | ContextPose | https://arxiv.org/abs/2103.15507v2 | AUC | 42.7 |
3D Human Pose Estimation | MPI-INF-3DHP | ContextPose | https://arxiv.org/abs/2103.15507v2 | PCK | 80.5 |
3D Human Pose Estimation | MPI-INF-3DHP | VNect (ResNet 50 GT) | http://arxiv.org/abs/1705.01583v1 | AUC | 41.6 |
3D Human Pose Estimation | MPI-INF-3DHP | VNect (ResNet 50 GT) | http://arxiv.org/abs/1705.01583v1 | PCK | 79.4 |
3D Human Pose Estimation | MPI-INF-3DHP | Mehta | http://arxiv.org/abs/1611.09813v5 | AUC | 40.8 |
3D Human Pose Estimation | MPI-INF-3DHP | Mehta | http://arxiv.org/abs/1611.09813v5 | PCK | 64.7 |
3D Human Pose Estimation | MPI-INF-3DHP | HEMlets Pose | https://arxiv.org/abs/1910.12032v1 | AUC | 38 |
3D Human Pose Estimation | MPI-INF-3DHP | HEMlets Pose | https://arxiv.org/abs/1910.12032v1 | PCK | 75.3 |
3D Human Pose Estimation | MPI-INF-3DHP | 2D-3D Lifting Network | http://arxiv.org/abs/1904.04812v1 | AUC | 36.3 |
3D Human Pose Estimation | MPI-INF-3DHP | 2D-3D Lifting Network | http://arxiv.org/abs/1904.04812v1 | PCK | 71.1 |
3D Human Pose Estimation | MPI-INF-3DHP | Ordinal Depth Supervision | http://arxiv.org/abs/1805.04095v1 | AUC | 35.3 |
3D Human Pose Estimation | MPI-INF-3DHP | Ordinal Depth Supervision | http://arxiv.org/abs/1805.04095v1 | PCK | 71.9 |
3D Human Pose Estimation | MPI-INF-3DHP | Stereoscopic View Synthesis Subnetwork | http://arxiv.org/abs/1904.05512v1 | AUC | 33.8 |
3D Human Pose Estimation | MPI-INF-3DHP | Stereoscopic View Synthesis Subnetwork | http://arxiv.org/abs/1904.05512v1 | PCK | 71.2 |
3D Human Pose Estimation | MPI-INF-3DHP | OriNet | http://arxiv.org/abs/1811.04989v1 | AUC | 32.1 |
3D Human Pose Estimation | MPI-INF-3DHP | OriNet | http://arxiv.org/abs/1811.04989v1 | PCK | 64.6 |
3D Human Pose Estimation | MPI-INF-3DHP | Adversarial Learning | http://arxiv.org/abs/1803.09722v2 | AUC | 32.0 |
3D Human Pose Estimation | MPI-INF-3DHP | Adversarial Learning | http://arxiv.org/abs/1803.09722v2 | PCK | 69.0 |
3D Human Pose Estimation | MPI-INF-3DHP | Probabilistic Monocular | https://arxiv.org/abs/2107.13788v2 | PCK | 84.3 |
3D Human Pose Estimation | MPI-INF-3DHP | Spatio-Temporal Network (T=128) | https://arxiv.org/abs/2004.11822v1 | PCK | 84.1 |
3D Human Pose Estimation | MPI-INF-3DHP | WSGAN | https://arxiv.org/abs/2008.05770v1 | PCK | 79.3 |
3D Human Pose Estimation | MPI-INF-3DHP | MDM | http://arxiv.org/abs/1904.05547v1 | PCK | 67.9 |
3D Human Pose Estimation | MPI-INF-3DHP | EFT | https://arxiv.org/abs/2004.03686v3 | PA-MPJPE | 67.5 |
3D Human Pose Estimation | 3DOH50K | OOH | http://openaccess.thecvf.com/content_CVPR_2020/html/Zhang_Object-Occluded_Human_Shape_and_Pose_Estimation_From_a_Single_Color_CVPR_2020_paper.html | Average PA-MPJPE (mm) | 58.5 |
3D Human Pose Estimation | 3D Poses in the Wild Challenge | BeyondWeak | https://arxiv.org/abs/2009.06549v1 | MPJPE | 83.15 |
3D Human Pose Estimation | 3D Poses in the Wild Challenge | BeyondWeak | https://arxiv.org/abs/2009.06549v1 | MPJAE | 19.69 |
3D Human Pose Estimation | 3D Poses in the Wild Challenge | RootNet | https://arxiv.org/abs/1907.11346v2 | MPJPE | 84.28 |
3D Human Pose Estimation | 3D Poses in the Wild Challenge | RootNet | https://arxiv.org/abs/1907.11346v2 | MPJAE | 21.25 |
3D Human Pose Estimation | 3D Poses in the Wild Challenge | SPIN | https://arxiv.org/abs/1909.12828v1 | MPJPE | 102.56 |
3D Human Pose Estimation | 3D Poses in the Wild Challenge | SPIN | https://arxiv.org/abs/1909.12828v1 | MPJAE | 25.42 |
3D Human Pose Estimation | 3D Poses in the Wild Challenge | MeTRo | https://arxiv.org/abs/2007.07227v2 | MPJPE | 68.83 |
3D Human Pose Estimation | 3D Poses in the Wild Challenge | ROMP | https://arxiv.org/abs/2008.12272v4 | MPJPE | 81.76 |
3D Human Pose Estimation | SPEC-MTP | W-HMR | https://arxiv.org/abs/2311.17460v6 | W-MPJPE | 118.7 |
3D Human Pose Estimation | SPEC-MTP | W-HMR | https://arxiv.org/abs/2311.17460v6 | W-PVE | 133.9 |
3D Human Pose Estimation | SPEC-MTP | SPEC | https://arxiv.org/abs/2110.00620v2 | W-MPJPE | 124.3 |
3D Human Pose Estimation | SPEC-MTP | SPEC | https://arxiv.org/abs/2110.00620v2 | W-PVE | 147.1 |
3D Human Pose Estimation | HSPACE | T-THUNDR (HITI + HSPACE) | https://arxiv.org/abs/2112.12867v2 | PA-MPJPE | 47 |
3D Human Pose Estimation | HSPACE | T-THUNDR (HITI + HSPACE) | https://arxiv.org/abs/2112.12867v2 | MPJPE | 71 |
3D Human Pose Estimation | HSPACE | T-THUNDR (HITI + HSPACE) | https://arxiv.org/abs/2112.12867v2 | PA-MPVPE | 58 |
3D Human Pose Estimation | HSPACE | T-THUNDR (HITI + HSPACE) | https://arxiv.org/abs/2112.12867v2 | MPVPE | 81 |
3D Human Pose Estimation | 3DPW | ExtPose (-a, T=16) | https://openreview.net/forum?id=hm9FNEZZ6z | PA-MPJPE | 34.0 |
3D Human Pose Estimation | 3DPW | ExtPose (-a, T=16) | https://openreview.net/forum?id=hm9FNEZZ6z | MPJPE | 54.2 |
3D Human Pose Estimation | 3DPW | ExtPose (-a, T=16) | https://openreview.net/forum?id=hm9FNEZZ6z | MPVPE | 67.5 |
3D Human Pose Estimation | 3DPW | WHAM (ViT) | https://arxiv.org/abs/2312.07531v2 | PA-MPJPE | 35.9 |
3D Human Pose Estimation | 3DPW | WHAM (ViT) | https://arxiv.org/abs/2312.07531v2 | MPJPE | 57.8 |
3D Human Pose Estimation | 3DPW | WHAM (ViT) | https://arxiv.org/abs/2312.07531v2 | MPVPE | 68.7 |
3D Human Pose Estimation | 3DPW | TAR (N=9) | https://arxiv.org/abs/2311.09543v1 | PA-MPJPE | 40.6 |
3D Human Pose Estimation | 3DPW | TAR (N=9) | https://arxiv.org/abs/2311.09543v1 | MPJPE | 62.7 |
3D Human Pose Estimation | 3DPW | TAR (N=9) | https://arxiv.org/abs/2311.09543v1 | MPVPE | 74.4 |
3D Human Pose Estimation | 3DPW | TAR (N=9) | https://arxiv.org/abs/2311.09543v1 | Acceleration Error | 7.7 |
3D Human Pose Estimation | 3DPW | Zolly (HRNet-w48) | https://arxiv.org/abs/2303.13796v3 | PA-MPJPE | 39.8 |
3D Human Pose Estimation | 3DPW | Zolly (HRNet-w48) | https://arxiv.org/abs/2303.13796v3 | MPJPE | 65 |
3D Human Pose Estimation | 3DPW | Zolly (HRNet-w48) | https://arxiv.org/abs/2303.13796v3 | MPVPE | 76.3 |
3D Human Pose Estimation | 3DPW | CycleAdapt (w/ 2D GT) | https://arxiv.org/abs/2308.06554v1 | PA-MPJPE | 39.9 |
3D Human Pose Estimation | 3DPW | CycleAdapt (w/ 2D GT) | https://arxiv.org/abs/2308.06554v1 | MPJPE | 64.7 |
3D Human Pose Estimation | 3DPW | CycleAdapt (w/ 2D GT) | https://arxiv.org/abs/2308.06554v1 | MPVPE | 76.7 |
3D Human Pose Estimation | 3DPW | PostoMETRO (HRNet-w48) | https://arxiv.org/abs/2403.12473v1 | PA-MPJPE | 39.8 |
3D Human Pose Estimation | 3DPW | PostoMETRO (HRNet-w48) | https://arxiv.org/abs/2403.12473v1 | MPJPE | 67.7 |
3D Human Pose Estimation | 3DPW | PostoMETRO (HRNet-w48) | https://arxiv.org/abs/2403.12473v1 | MPVPE | 76.8 |
3D Human Pose Estimation | 3DPW | CLIFF (3DPW+HumanWild+BEDLAM+AGORA) | https://arxiv.org/abs/2403.11111v2 | PA-MPJPE | 41.9 |
3D Human Pose Estimation | 3DPW | CLIFF (3DPW+HumanWild+BEDLAM+AGORA) | https://arxiv.org/abs/2403.11111v2 | MPJPE | 65.2 |
3D Human Pose Estimation | 3DPW | CLIFF (3DPW+HumanWild+BEDLAM+AGORA) | https://arxiv.org/abs/2403.11111v2 | MPVPE | 76.8 |
3D Human Pose Estimation | 3DPW | Hulk(ViT-L) | https://arxiv.org/abs/2312.01697v4 | PA-MPJPE | 38.5 |
3D Human Pose Estimation | 3DPW | Hulk(ViT-L) | https://arxiv.org/abs/2312.01697v4 | MPJPE | 66.3 |
3D Human Pose Estimation | 3DPW | Hulk(ViT-L) | https://arxiv.org/abs/2312.01697v4 | MPVPE | 77.4 |
3D Human Pose Estimation | 3DPW | GenHMR | https://arxiv.org/abs/2412.14444v1 | PA-MPJPE | 42.1 |
3D Human Pose Estimation | 3DPW | GenHMR | https://arxiv.org/abs/2412.14444v1 | MPJPE | 68.1 |
3D Human Pose Estimation | 3DPW | GenHMR | https://arxiv.org/abs/2412.14444v1 | MPVPE | 77.5 |
3D Human Pose Estimation | 3DPW | VirtualMarker | https://arxiv.org/abs/2303.11726v4 | PA-MPJPE | 41.3 |
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