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 | 3DPW | THUNDR | https://arxiv.org/abs/2106.09336v1 | MPJPE | 74.8 |
3D Human Pose Estimation | 3DPW | EFT | https://arxiv.org/abs/2004.03686v3 | PA-MPJPE | 51.6 |
3D Human Pose Estimation | 3DPW | UniHPE (GT) | https://arxiv.org/abs/2311.16477v1 | PA-MPJPE | 51.6 |
3D Human Pose Estimation | 3DPW | MION | https://arxiv.org/abs/2112.12917v1 | PA-MPJPE | 52.34 |
3D Human Pose Estimation | 3DPW | MION | https://arxiv.org/abs/2112.12917v1 | MPJPE | 81.98 |
3D Human Pose Estimation | 3DPW | SPEC | https://arxiv.org/abs/2110.00620v2 | PA-MPJPE | 53.2 |
3D Human Pose Estimation | 3DPW | HuManiFlow | https://arxiv.org/abs/2305.06968v1 | PA-MPJPE | 53.4 |
3D Human Pose Estimation | 3DPW | HuManiFlow | https://arxiv.org/abs/2305.06968v1 | MPJPE | 83.9 |
3D Human Pose Estimation | 3DPW | Hierarchical Probabilistic Humans | https://arxiv.org/abs/2110.00990v2 | PA-MPJPE | 53.6 |
3D Human Pose Estimation | 3DPW | Hierarchical Probabilistic Humans | https://arxiv.org/abs/2110.00990v2 | MPJPE | 84.9 |
3D Human Pose Estimation | 3DPW | BlanketGen | https://arxiv.org/abs/2210.12035v2 | PA-MPJPE | 53.96 |
3D Human Pose Estimation | 3DPW | Hand4Whole | https://arxiv.org/abs/2011.11534v4 | PA-MPJPE | 54.4 |
3D Human Pose Estimation | 3DPW | DaNet-DensePose2SMPL | https://arxiv.org/abs/1912.13344v2 | PA-MPJPE | 54.8 |
3D Human Pose Estimation | 3DPW | DaNet-DensePose2SMPL | https://arxiv.org/abs/1912.13344v2 | MPJPE | 85.5 |
3D Human Pose Estimation | 3DPW | ProHMR + fitting | https://arxiv.org/abs/2108.11944v1 | PA-MPJPE | 55.1 |
3D Human Pose Estimation | 3DPW | TUCH | https://arxiv.org/abs/2104.03176v2 | PA-MPJPE | 55.5 |
3D Human Pose Estimation | 3DPW | TUCH | https://arxiv.org/abs/2104.03176v2 | MPJPE | 84.9 |
3D Human Pose Estimation | 3DPW | HUND (FS+SS) | https://arxiv.org/abs/2008.06910v2 | PA-MPJPE | 57.5 |
3D Human Pose Estimation | 3DPW | HUND (FS+SS) | https://arxiv.org/abs/2008.06910v2 | MPJPE | 81.4 |
3D Human Pose Estimation | 3DPW | LASOR | https://arxiv.org/abs/2108.00351v5 | PA-MPJPE | 57.9 |
3D Human Pose Estimation | 3DPW | RSC-Net | https://arxiv.org/abs/2007.13666v2 | PA-MPJPE | 58.98 |
3D Human Pose Estimation | 3DPW | RSC-Net | https://arxiv.org/abs/2007.13666v2 | MPJPE | 96.36 |
3D Human Pose Estimation | 3DPW | BeyondWeak | https://arxiv.org/abs/2009.06549v1 | PA-MPJPE | 59.7 |
3D Human Pose Estimation | 3DPW | BeyondWeak | https://arxiv.org/abs/2009.06549v1 | MPJPE | 83.2 |
3D Human Pose Estimation | 3DPW | THUNDR (WS) | https://arxiv.org/abs/2106.09336v1 | PA-MPJPE | 59.9 |
3D Human Pose Estimation | 3DPW | THUNDR (WS) | https://arxiv.org/abs/2106.09336v1 | MPJPE | 86.8 |
3D Human Pose Estimation | 3DPW | Biggs [3] | https://arxiv.org/abs/2108.11944v1 | PA-MPJPE | 59.9 |
3D Human Pose Estimation | 3DPW | FrankMocap | https://arxiv.org/abs/2108.06428v1 | PA-MPJPE | 60 |
3D Human Pose Estimation | 3DPW | FrankMocap | https://arxiv.org/abs/2108.06428v1 | MPJPE | 94.3 |
3D Human Pose Estimation | 3DPW | ExPose | https://arxiv.org/abs/2008.09062v1 | PA-MPJPE | 60.7 |
3D Human Pose Estimation | 3DPW | ExPose | https://arxiv.org/abs/2008.09062v1 | MPJPE | 93.4 |
3D Human Pose Estimation | 3DPW | Prob3DHumans | https://arxiv.org/abs/2103.10978v2 | PA-MPJPE | 61 |
3D Human Pose Estimation | 3DPW | Prob3DHumans | https://arxiv.org/abs/2103.10978v2 | MPJPE | 90.9 |
3D Human Pose Estimation | 3DPW | Dual network | https://arxiv.org/abs/2205.00748v3 | PA-MPJPE | 61.7 |
3D Human Pose Estimation | 3DPW | SHAPY (SMPL-X) | https://arxiv.org/abs/2206.07036v1 | PA-MPJPE | 62.6 |
3D Human Pose Estimation | 3DPW | SHAPY (SMPL-X) | https://arxiv.org/abs/2206.07036v1 | MPJPE | 95.2 |
3D Human Pose Estimation | 3DPW | PoseNet3D | https://arxiv.org/abs/2003.03473v2 | PA-MPJPE | 63.2 |
3D Human Pose Estimation | 3DPW | GnTCN | https://arxiv.org/abs/2012.11806v3 | PA-MPJPE | 64.2 |
3D Human Pose Estimation | 3DPW | ProHMR | https://arxiv.org/abs/2108.11944v1 | PA-MPJPE | 65 |
3D Human Pose Estimation | 3DPW | UniHPE-w48 | https://arxiv.org/abs/2311.16477v1 | PA-MPJPE | 65.7 |
3D Human Pose Estimation | 3DPW | HW-HuP | https://arxiv.org/abs/2105.10996v3 | PA-MPJPE | 66.1 |
3D Human Pose Estimation | 3DPW | STRAPS | https://arxiv.org/abs/2009.10013v2 | PA-MPJPE | 66.8 |
3D Human Pose Estimation | 3DPW | PoseTriplet | https://arxiv.org/abs/2203.15625v1 | PA-MPJPE | 69.5 |
3D Human Pose Estimation | 3DPW | PoseTriplet | https://arxiv.org/abs/2203.15625v1 | MPJPE | 115 |
3D Human Pose Estimation | 3DPW | Spatio-Temporal Network (T=128) | https://arxiv.org/abs/2004.11822v1 | PA-MPJPE | 71.8 |
3D Human Pose Estimation | 3DPW | Non-Local Latent Relation Distillation | https://arxiv.org/abs/2204.01971v2 | PA-MPJPE | 72.1 |
3D Human Pose Estimation | 3DPW | HMMR (T=20) | https://arxiv.org/abs/1812.01601v4 | PA-MPJPE | 72.6 |
3D Human Pose Estimation | 3DPW | HMMR (T=20) | https://arxiv.org/abs/1812.01601v4 | MPJPE | 116.5 |
3D Human Pose Estimation | 3DPW | HMMR (T=20) | https://arxiv.org/abs/1812.01601v4 | Acceleration Error | 15.2 |
3D Human Pose Estimation | 3DPW | HR-Net+ST-GCN+PoseAug | https://arxiv.org/abs/2105.02465v1 | PA-MPJPE | 73.2 |
3D Human Pose Estimation | 3DPW | ISO | https://arxiv.org/abs/2007.02054v1 | PA-MPJPE | 75.8 |
3D Human Pose Estimation | 3DPW | PONet | https://arxiv.org/abs/2112.11153v1 | PA-MPJPE | 76.2 |
3D Human Pose Estimation | 3DPW | MVM | https://arxiv.org/abs/2004.05275v1 | PA-MPJPE | 78.2 |
3D Human Pose Estimation | 3DPW | TP-Net | http://arxiv.org/abs/1711.09250v2 | PA-MPJPE | 92.2 |
3D Human Pose Estimation | 3DPW | SMPLify | http://arxiv.org/abs/1607.08128v1 | PA-MPJPE | 106.8 |
3D Human Pose Estimation | 3DPW | Simple-baseline | http://arxiv.org/abs/1705.03098v2 | PA-MPJPE | 157.0 |
3D Human Pose Estimation | 3DPW | HybridCap | https://arxiv.org/abs/2203.09287v2 | MPJPE | 72.1 |
3D Human Pose Estimation | 3DPW | PARE + HANet (T=51) | https://arxiv.org/abs/2211.15868v1 | MPJPE | 74.6 |
3D Human Pose Estimation | 3DPW | PARE + HANet (T=51) | https://arxiv.org/abs/2211.15868v1 | Acceleration Error | 8 |
3D Human Pose Estimation | 3DPW | SMPLer-X | https://arxiv.org/abs/2309.17448v3 | MPJPE | 75.2 |
3D Human Pose Estimation | 3DPW | PARE + HANet (T=101) | https://arxiv.org/abs/2211.15868v1 | MPJPE | 77.1 |
3D Human Pose Estimation | 3DPW | PARE + HANet (T=101) | https://arxiv.org/abs/2211.15868v1 | Acceleration Error | 6.8 |
3D Human Pose Estimation | 3DPW | MEEV | https://arxiv.org/abs/2210.14165v1 | MPJPE | 81.74 |
3D Human Pose Estimation | 3DPW | HMR | http://arxiv.org/abs/1712.06584v2 | MPJPE | 130.0 |
3D Human Pose Estimation | 3DPW | HMR | http://arxiv.org/abs/1712.06584v2 | Acceleration Error | 37.4 |
3D Human Pose Estimation | DHP19 | Point Transformer | https://arxiv.org/abs/2206.04511v2 | MPJPE2D | 6.46 |
3D Human Pose Estimation | DHP19 | Point Transformer | https://arxiv.org/abs/2206.04511v2 | MPJPE3D | 73.37 |
3D Human Pose Estimation | DHP19 | Point Transformer | https://arxiv.org/abs/2206.04511v2 | Params (M) | 3.65 |
3D Human Pose Estimation | DHP19 | Point Transformer | https://arxiv.org/abs/2206.04511v2 | GFLOPs | 10.06 |
3D Human Pose Estimation | DHP19 | Lifting Events | https://arxiv.org/abs/2104.10609v1 | MPJPE3D | 92.09 |
3D Human Pose Estimation | SkiPose | MetaPose (S1+S2) | https://arxiv.org/abs/2108.04869v2 | MPJPE | 53 |
3D Human Pose Estimation | SkiPose | MetaPose (S1+S2) | https://arxiv.org/abs/2108.04869v2 | P-MPJPE | 42 |
3D Human Pose Estimation | SkiPose | MetaPose (S1+IR) | https://arxiv.org/abs/2108.04869v2 | MPJPE | 54 |
3D Human Pose Estimation | SkiPose | MetaPose (S1+IR) | https://arxiv.org/abs/2108.04869v2 | P-MPJPE | 30 |
3D Human Pose Estimation | SkiPose | CanonPose | https://arxiv.org/abs/2011.14679v1 | MPJPE | 128.1 |
3D Human Pose Estimation | SkiPose | CanonPose | https://arxiv.org/abs/2011.14679v1 | P-MPJPE | 89.6 |
3D Human Pose Estimation | SkiPose | CanonPose | https://arxiv.org/abs/2011.14679v1 | PCK | 67.1 |
3D Human Pose Estimation | SkiPose | CanonPose | https://arxiv.org/abs/2011.14679v1 | CPS | 108.7 |
3D Human Pose Estimation | Human3.6M | LMT R152 384x384 | https://arxiv.org/abs/2208.11251v1 | Average MPJPE (mm) | 17.59 |
3D Human Pose Estimation | Human3.6M | LMT R152 384x384 | https://arxiv.org/abs/2208.11251v1 | Using 2D ground-truth joints | No |
3D Human Pose Estimation | Human3.6M | LMT R152 384x384 | https://arxiv.org/abs/2208.11251v1 | Multi-View or Monocular | Multi-View |
3D Human Pose Estimation | Human3.6M | LMT R152 384x384 | https://arxiv.org/abs/2208.11251v1 | MPVE (mm) | 23.7 |
3D Human Pose Estimation | Human3.6M | LMT R152 384x384 | https://arxiv.org/abs/2208.11251v1 | Angular Error | 11.33 |
3D Human Pose Estimation | Human3.6M | Geometry-Biased Transformer (HRNet) | https://arxiv.org/abs/2312.17106v1 | Average MPJPE (mm) | 26.0 |
3D Human Pose Estimation | Human3.6M | Geometry-Biased Transformer (HRNet) | https://arxiv.org/abs/2312.17106v1 | Using 2D ground-truth joints | No |
3D Human Pose Estimation | Human3.6M | Geometry-Biased Transformer (HRNet) | https://arxiv.org/abs/2312.17106v1 | Multi-View or Monocular | Multi-View |
3D Human Pose Estimation | Human3.6M | Epipolar Transformer+R50 256×256+RPSM | https://arxiv.org/abs/2005.04551v1 | Average MPJPE (mm) | 26.9 |
3D Human Pose Estimation | Human3.6M | Epipolar Transformer+R50 256×256+RPSM | https://arxiv.org/abs/2005.04551v1 | Using 2D ground-truth joints | No |
3D Human Pose Estimation | Human3.6M | Epipolar Transformer+R50 256×256+RPSM | https://arxiv.org/abs/2005.04551v1 | Multi-View or Monocular | Multi-View |
3D Human Pose Estimation | Human3.6M | MTF-Transformer (M=0.4, T=7) | https://arxiv.org/abs/2110.05092v2 | Average MPJPE (mm) | 28.5 |
3D Human Pose Estimation | Human3.6M | MTF-Transformer (M=0.4, T=7) | https://arxiv.org/abs/2110.05092v2 | Using 2D ground-truth joints | No |
3D Human Pose Estimation | Human3.6M | MTF-Transformer (M=0.4, T=7) | https://arxiv.org/abs/2110.05092v2 | Multi-View or Monocular | Multi-View |
3D Human Pose Estimation | Human3.6M | Generalizable Human Pose Triangulation | https://arxiv.org/abs/2110.00280v3 | Average MPJPE (mm) | 29.1 |
3D Human Pose Estimation | Human3.6M | Generalizable Human Pose Triangulation | https://arxiv.org/abs/2110.00280v3 | Using 2D ground-truth joints | No |
3D Human Pose Estimation | Human3.6M | Generalizable Human Pose Triangulation | https://arxiv.org/abs/2110.00280v3 | Multi-View or Monocular | Multi-View |
3D Human Pose Estimation | Human3.6M | MTF-Transformer (M=0.4, T=1) | https://arxiv.org/abs/2110.05092v2 | Average MPJPE (mm) | 29.4 |
3D Human Pose Estimation | Human3.6M | MTF-Transformer (M=0.4, T=1) | https://arxiv.org/abs/2110.05092v2 | Using 2D ground-truth joints | No |
3D Human Pose Estimation | Human3.6M | MTF-Transformer (M=0.4, T=1) | https://arxiv.org/abs/2110.05092v2 | Multi-View or Monocular | Multi-View |
3D Human Pose Estimation | Human3.6M | SmartEdgeSensor | https://arxiv.org/abs/2106.14729v1 | Average MPJPE (mm) | 29.8 |
3D Human Pose Estimation | Human3.6M | SmartEdgeSensor | https://arxiv.org/abs/2106.14729v1 | Using 2D ground-truth joints | No |
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