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 | HumanEva-I | 3D Pose Grammar Network | http://www.stat.ucla.edu/~jxie/personalpage_file/publications/3dpose_pami19.pdf | Mean Reconstruction Error (mm) | 22.9 |
3D Human Pose Estimation | HumanEva-I | Pose Grammar | http://arxiv.org/abs/1710.06513v6 | Mean Reconstruction Error (mm) | 22.9 |
3D Human Pose Estimation | HumanEva-I | Ours (Oracle) | https://arxiv.org/abs/1904.01324v2 | Mean Reconstruction Error (mm) | 23.9 |
3D Human Pose Estimation | HumanEva-I | c2f-vol | http://arxiv.org/abs/1611.07828v2 | Mean Reconstruction Error (mm) | 24.3 |
3D Human Pose Estimation | HumanEva-I | ConvFormer (T=43) | https://arxiv.org/abs/2304.02147v1 | Mean Reconstruction Error (mm) | 24.3 |
3D Human Pose Estimation | HumanEva-I | SIM (SH detections) | http://arxiv.org/abs/1705.03098v2 | Mean Reconstruction Error (mm) | 24.6 |
3D Human Pose Estimation | HumanEva-I | EDM | http://arxiv.org/abs/1611.09010v1 | Mean Reconstruction Error (mm) | 26.9 |
3D Human Pose Estimation | HumanEva-I | Recurrent 3D Pose Sequence Machines | http://arxiv.org/abs/1707.09695v1 | Mean Reconstruction Error (mm) | 30.8 |
3D Human Pose Estimation | HumanEva-I | DMHSR(J,B,D) | http://arxiv.org/abs/1701.08985v1 | Mean Reconstruction Error (mm) | 33.7 |
3D Human Pose Estimation | HumanEva-I | Dual-source approach | http://arxiv.org/abs/1509.06720v2 | Mean Reconstruction Error (mm) | 38.9 |
3D Human Pose Estimation | HumanEva-I | TGP | https://doi.org/10.1007/s11263-008-0204-y | Mean Reconstruction Error (mm) | 39.1 |
3D Human Pose Estimation | HumanEva-I | DSRF | http://dx.doi.org/10.5244/C.28.80 | Mean Reconstruction Error (mm) | 40.3 |
3D Human Pose Estimation | HumanEva-I | Simo-Serra et al. | http://openaccess.thecvf.com/content_cvpr_2013/html/Simo-Serra_A_Joint_Model_2013_CVPR_paper.html | Mean Reconstruction Error (mm) | 56.7 |
3D Human Pose Estimation | HumanEva-I | Ours | http://arxiv.org/abs/1808.05942v1 | Mean Reconstruction Error (mm) | 64 |
3D Human Pose Estimation | HumanEva-I | Wang et al. | http://arxiv.org/abs/1406.2282v1 | Mean Reconstruction Error (mm) | 71.3 |
3D Human Pose Estimation | HumanEva-I | SMPLify (dense) | http://arxiv.org/abs/1701.02468v3 | Mean Reconstruction Error (mm) | 74.5 |
3D Human Pose Estimation | HumanEva-I | SMPLify | http://arxiv.org/abs/1607.08128v1 | Mean Reconstruction Error (mm) | 79.9 |
3D Human Pose Estimation | AGORA | NIKI (Twist-and-Swing) | https://arxiv.org/abs/2305.08590v1 | B-NMVE | 70.2 |
3D Human Pose Estimation | AGORA | NIKI (Twist-and-Swing) | https://arxiv.org/abs/2305.08590v1 | B-NMJE | 74 |
3D Human Pose Estimation | AGORA | NIKI (Twist-and-Swing) | https://arxiv.org/abs/2305.08590v1 | B-MVE | 63.9 |
3D Human Pose Estimation | AGORA | NIKI (Twist-and-Swing) | https://arxiv.org/abs/2305.08590v1 | B-MPJPE | 67.3 |
3D Human Pose Estimation | AGORA | W-HMR | https://arxiv.org/abs/2311.17460v6 | B-NMVE | 70.4 |
3D Human Pose Estimation | AGORA | W-HMR | https://arxiv.org/abs/2311.17460v6 | B-NMJE | 75.4 |
3D Human Pose Estimation | AGORA | W-HMR | https://arxiv.org/abs/2311.17460v6 | B-MVE | 63.4 |
3D Human Pose Estimation | AGORA | W-HMR | https://arxiv.org/abs/2311.17460v6 | B-MPJPE | 67.9 |
3D Human Pose Estimation | AGORA | HybrIK-X | https://arxiv.org/abs/2304.05690v1 | B-NMVE | 73.7 |
3D Human Pose Estimation | AGORA | HybrIK-X | https://arxiv.org/abs/2304.05690v1 | B-NMJE | 72.3 |
3D Human Pose Estimation | AGORA | HybrIK-X | https://arxiv.org/abs/2304.05690v1 | B-MVE | 68.5 |
3D Human Pose Estimation | AGORA | HybrIK-X | https://arxiv.org/abs/2304.05690v1 | B-MPJPE | 67.2 |
3D Human Pose Estimation | AGORA | HybrIK | https://arxiv.org/abs/2304.05690v1 | B-NMVE | 81.2 |
3D Human Pose Estimation | AGORA | HybrIK | https://arxiv.org/abs/2304.05690v1 | B-NMJE | 84.6 |
3D Human Pose Estimation | AGORA | HybrIK | https://arxiv.org/abs/2304.05690v1 | B-MVE | 73.9 |
3D Human Pose Estimation | AGORA | HybrIK | https://arxiv.org/abs/2304.05690v1 | B-MPJPE | 77 |
3D Human Pose Estimation | AGORA | PyMAF | https://arxiv.org/abs/2103.16507v4 | B-NMVE | 87.3 |
3D Human Pose Estimation | AGORA | PyMAF | https://arxiv.org/abs/2103.16507v4 | B-NMJE | 92.6 |
3D Human Pose Estimation | AGORA | PyMAF | https://arxiv.org/abs/2103.16507v4 | B-MVE | 78.6 |
3D Human Pose Estimation | AGORA | PyMAF | https://arxiv.org/abs/2103.16507v4 | B-MPJPE | 83.3 |
3D Human Pose Estimation | AGORA | PyMAF-X | https://arxiv.org/abs/2207.06400v3 | B-NMVE | 94.4 |
3D Human Pose Estimation | AGORA | PyMAF-X | https://arxiv.org/abs/2207.06400v3 | B-NMJE | 93.5 |
3D Human Pose Estimation | AGORA | PyMAF-X | https://arxiv.org/abs/2207.06400v3 | B-MVE | 84.0 |
3D Human Pose Estimation | AGORA | PyMAF-X | https://arxiv.org/abs/2207.06400v3 | B-MPJPE | 83.2 |
3D Human Pose Estimation | AGORA | Multi-Person 3D Pose and Shape Estimationvia Inverse Kinematics and Refinement | https://arxiv.org/abs/2210.13529v2 | B-NMVE | 104.5 |
3D Human Pose Estimation | AGORA | Multi-Person 3D Pose and Shape Estimationvia Inverse Kinematics and Refinement | https://arxiv.org/abs/2210.13529v2 | B-NMJE | 110.4 |
3D Human Pose Estimation | AGORA | Multi-Person 3D Pose and Shape Estimationvia Inverse Kinematics and Refinement | https://arxiv.org/abs/2210.13529v2 | B-MVE | 86.7 |
3D Human Pose Estimation | AGORA | Multi-Person 3D Pose and Shape Estimationvia Inverse Kinematics and Refinement | https://arxiv.org/abs/2210.13529v2 | B-MPJPE | 91.6 |
3D Human Pose Estimation | AGORA | SPEC | https://arxiv.org/abs/2110.00620v2 | B-NMVE | 126.8 |
3D Human Pose Estimation | AGORA | SPEC | https://arxiv.org/abs/2110.00620v2 | B-NMJE | 133.7 |
3D Human Pose Estimation | AGORA | SPEC | https://arxiv.org/abs/2110.00620v2 | B-MVE | 106.5 |
3D Human Pose Estimation | AGORA | SPEC | https://arxiv.org/abs/2110.00620v2 | B-MPJPE | 112.3 |
3D Human Pose Estimation | AGORA | PARE | https://arxiv.org/abs/2104.08527v2 | B-NMVE | 167.7 |
3D Human Pose Estimation | AGORA | PARE | https://arxiv.org/abs/2104.08527v2 | B-NMJE | 174.0 |
3D Human Pose Estimation | AGORA | PARE | https://arxiv.org/abs/2104.08527v2 | B-MVE | 140.9 |
3D Human Pose Estimation | AGORA | PARE | https://arxiv.org/abs/2104.08527v2 | B-MPJPE | 146.2 |
3D Human Pose Estimation | AGORA | SPIN | https://arxiv.org/abs/1909.12828v1 | B-NMVE | 216.3 |
3D Human Pose Estimation | AGORA | SPIN | https://arxiv.org/abs/1909.12828v1 | B-NMJE | 223.1 |
3D Human Pose Estimation | AGORA | SPIN | https://arxiv.org/abs/1909.12828v1 | B-MVE | 168.7 |
3D Human Pose Estimation | AGORA | SPIN | https://arxiv.org/abs/1909.12828v1 | B-MPJPE | 175.1 |
3D Human Pose Estimation | AGORA | HMR | http://arxiv.org/abs/1712.06584v2 | B-NMVE | 217.0 |
3D Human Pose Estimation | AGORA | HMR | http://arxiv.org/abs/1712.06584v2 | B-NMJE | 226.0 |
3D Human Pose Estimation | AGORA | HMR | http://arxiv.org/abs/1712.06584v2 | B-MVE | 173.6 |
3D Human Pose Estimation | AGORA | HMR | http://arxiv.org/abs/1712.06584v2 | B-MPJPE | 180.5 |
3D Human Pose Estimation | H3WB | SemGAN | https://arxiv.org/abs/2406.01196v1 | MPJPE | 45.39 |
3D Human Pose Estimation | H3WB | RTMW3D-x | https://arxiv.org/abs/2407.08634v1 | MPJPE | 57 |
3D Human Pose Estimation | H3WB | 3D-LFM | https://arxiv.org/abs/2312.11894v2 | MPJPE | 60.83 |
3D Human Pose Estimation | H3WB | Jointformer-flip | https://arxiv.org/abs/2208.03704v1 | MPJPE | 63.0 |
3D Human Pose Estimation | H3WB | Jointformer | https://arxiv.org/abs/2211.15692v2 | MPJPE | 84.9 |
3D Human Pose Estimation | H3WB | Jointformer | https://arxiv.org/abs/2211.15692v2 | MPJPE | 103.0 |
3D Human Pose Estimation | H3WB | Large SimpleBaseline | https://arxiv.org/abs/2211.15692v2 | MPJPE | 112.6 |
3D Human Pose Estimation | H3WB | CanonPose + 3D supervision | https://arxiv.org/abs/2211.15692v2 | MPJPE | 117.5 |
3D Human Pose Estimation | H3WB | SimpleBaseline | https://arxiv.org/abs/2211.15692v2 | MPJPE | 125.7 |
3D Human Pose Estimation | H3WB | Large SimpleBaseline | https://arxiv.org/abs/2211.15692v2 | MPJPE | 131.6 |
3D Human Pose Estimation | H3WB | CPN + Jointformer | https://arxiv.org/abs/2211.15692v2 | MPJPE | 142.8 |
3D Human Pose Estimation | H3WB | Resnet50 | https://arxiv.org/abs/2211.15692v2 | MPJPE | 151.6 |
3D Human Pose Estimation | H3WB | CanonPose + 3D supervision | https://arxiv.org/abs/2211.15692v2 | MPJPE | 155.9 |
3D Human Pose Estimation | H3WB | SHN + SimpleBaseline | https://arxiv.org/abs/2211.15692v2 | MPJPE | 189.6 |
3D Human Pose Estimation | H3WB | CanonPose | https://arxiv.org/abs/2211.15692v2 | MPJPE | 193.7 |
3D Human Pose Estimation | H3WB | SimpleBaseline | https://arxiv.org/abs/2211.15692v2 | MPJPE | 252.0 |
3D Human Pose Estimation | H3WB | CanonPose | https://arxiv.org/abs/2211.15692v2 | MPJPE | 264.4 |
3D Human Pose Estimation | CHALL H80K | ResNet | http://arxiv.org/abs/1809.06079v1 | MPJPE | 55.3 |
3D Human Pose Estimation | Surreal | VirtualMarker | https://arxiv.org/abs/2303.11726v4 | MPJPE | 36.9 |
3D Human Pose Estimation | Surreal | VirtualMarker | https://arxiv.org/abs/2303.11726v4 | PA-MPJPE | 28.9 |
3D Human Pose Estimation | Surreal | VirtualMarker | https://arxiv.org/abs/2303.11726v4 | PVE | 44.7 |
3D Human Pose Estimation | Surreal | Cross Dataset Generalization | https://arxiv.org/abs/2004.03143v1 | MPJPE | 37.1 |
3D Human Pose Estimation | Surreal | Cross Dataset Generalization | https://arxiv.org/abs/2004.03143v1 | PCK | 97.3 |
3D Human Pose Estimation | Surreal | BodyNet | http://arxiv.org/abs/1804.04875v3 | MPJPE | 49.1 |
3D Human Pose Estimation | Surreal | PC-HMR | https://arxiv.org/abs/2103.09009v2 | MPJPE | 51.7 |
3D Human Pose Estimation | Surreal | PC-HMR | https://arxiv.org/abs/2103.09009v2 | PA-MPJPE | 37.9 |
3D Human Pose Estimation | Surreal | self-supervised mocap | http://arxiv.org/abs/1712.01337v1 | MPJPE | 64.4 |
3D Human Pose Estimation | Surreal | DynaBOA | https://arxiv.org/abs/2111.04017v1 | PA-MPJPE | 34 |
3D Human Pose Estimation | Surreal | DynaBOA | https://arxiv.org/abs/2111.04017v1 | PVE | 70.7 |
3D Human Pose Estimation | EMDB | TRAM | https://arxiv.org/abs/2403.17346v2 | Average MPJPE (mm) | 74.4 |
3D Human Pose Estimation | EMDB | TRAM | https://arxiv.org/abs/2403.17346v2 | Average MPJPE-PA (mm) | 45.7 |
3D Human Pose Estimation | EMDB | TRAM | https://arxiv.org/abs/2403.17346v2 | Average MVE (mm) | 86.6 |
3D Human Pose Estimation | EMDB | WHAM (ViT) | https://arxiv.org/abs/2312.07531v2 | Average MPJPE (mm) | 79.7 |
3D Human Pose Estimation | EMDB | WHAM (ViT) | https://arxiv.org/abs/2312.07531v2 | Average MPJPE-PA (mm) | 50.4 |
3D Human Pose Estimation | EMDB | WHAM (ViT) | https://arxiv.org/abs/2312.07531v2 | Average MVE (mm) | 94.4 |
3D Human Pose Estimation | EMDB | GenHMR | https://arxiv.org/abs/2412.14444v1 | Average MPJPE (mm) | 88.2 |
3D Human Pose Estimation | EMDB | GenHMR | https://arxiv.org/abs/2412.14444v1 | Average MPJPE-PA (mm) | 51.7 |
3D Human Pose Estimation | EMDB | GenHMR | https://arxiv.org/abs/2412.14444v1 | Average MVE (mm) | 99.5 |
3D Human Pose Estimation | EMDB | BioPose | https://arxiv.org/abs/2501.07800v1 | Average MPJPE (mm) | 92.5 |
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