List your company

3D Human Pose Estimation on Human3.6M (test)

1.3MPJPE (Average)LiftFormer
0.068.4316.825.17Apr 2, 2019Jun 8, 2020Aug 15, 2021Oct 22, 2022Dec 29, 2023Mar 6, 2025May 14, 2026

Evaluation results

MethodLinks
LiftFormern=2432020.091.31.31.411.61.11.31.31.60.91.211.21.91.61.3———————————————————————————————————————————————————————————————————
UGCN2D Detector=GT, Motion Loss=true2020.041.41.21.31.11.41.11.41.21.411.311.11.71.31.4———————————————————————————————————————————————————————————————————
LiftFormern=812020.091.41.41.51.11.71.11.41.41.70.91.31.11.221.71.4———————————————————————————————————————————————————————————————————
LiftFormern=272020.091.61.61.71.31.91.31.51.61.811.41.21.52.21.91.7———————————————————————————————————————————————————————————————————
MotionBERTT=243, mode=finetune, architecture=spatio-temporal Transformer2022.101.71.71.91.41.91.41.71.71.91.11.61.41.32.41.91.6———————————————————————————————————————————————————————————————————
MotionBERTT=243, mode=scratch, architecture=spatio-temporal Transformer2022.101.81.82.11.521.51.91.82.11.21.81.51.42.621.7———————————————————————————————————————————————————————————————————
UGCN2D Detector=CPN, Motion Loss=true2020.042.32.32.522.722.32.22.51.82.71.923.12.22.5———————————————————————————————————————————————————————————————————
MixSTET=243, 2D detector=HRNet, architecture=spatio-temporal Transformer2022.102.32.52.71.92.81.92.22.32.61.62.21.923.12.62.2———————————————————————————————————————————————————————————————————
Chen et al.Frames=243, 2D Detector=CPN2021.062.52.72.823.122.42.42.81.82.422.13.42.72.4———————————————————————————————————————————————————————————————————
Virtual BonesFrames=243, 2D Detector=CPN2021.062.52.72.823.122.42.42.71.82.422.13.32.72.4———————————————————————————————————————————————————————————————————
Lin2020.042.72.72.82.13.122.52.72.91.82.62.12.33.72.73.1———————————————————————————————————————————————————————————————————
Pavllo2020.042.833.12.23.42.32.72.73.12.12.92.32.43.73.12.8———————————————————————————————————————————————————————————————————
Pavllo et al.Temporal modeling=Temporal2020.092.833.12.23.42.32.72.73.12.12.92.32.43.73.12.8———————————————————————————————————————————————————————————————————
Pavllo et al.Frames=243, 2D Detector=CPN2021.062.833.12.23.42.32.72.73.12.12.92.32.43.73.12.8———————————————————————————————————————————————————————————————————
VideoPose3DT=2432022.102.833.12.23.42.32.72.73.12.12.92.32.43.73.12.8———————————————————————————————————————————————————————————————————
PoseFormerT=81, architecture=spatio-temporal Transformer2022.103.13.23.42.63.62.632.93.22.63.32.72.73.83.22.9———————————————————————————————————————————————————————————————————
UGCN2D Detector=CPN, Motion Loss=false2020.043.43.53.633.933.43.23.62.93.733.14.23.43.7———————————————————————————————————————————————————————————————————
Chen et al.Frames=9, 2D Detector=CPN2021.063.94.24.23.34.73.53.83.83.93.343.53.64.74.24.1———————————————————————————————————————————————————————————————————
Virtual BonesFrames=9, 2D Detector=CPN2021.063.94.24.23.34.73.53.83.83.93.23.93.53.64.84.34.1———————————————————————————————————————————————————————————————————
Pavllo et al.Temporal modeling=Single-frame2020.0911.612.812.610.314.210.211.311.811.38.210.210.311.313.113.412.9———————————————————————————————————————————————————————————————————
TCPFormerT (Number of input frames)=243, Input type=Ground Truth 2D pose2025.0115.51515.916.114.215.716.416.216.922.120.616.713.313.89.29.9———————————————————————————————————————————————————————————————————
MotionBERTT=243, input=GT 2D, mode=finetune, architecture=spatio-temporal Transformer2022.1016.915.917.316.914.616.818.618.618.42221.817.316.916.110.511.4———————————————————————————————————————————————————————————————————
MotionBERTT=243, input=GT 2D, mode=scratch, architecture=spatio-temporal Transformer2022.1017.816.719.917.116.517.418.819.320.52422.118.616.816.710.811.5———————————————————————————————————————————————————————————————————
MotionBERTT (Number of input frames)=243, Input type=Ground Truth 2D pose2025.0117.816.719.917.116.517.418.819.320.52422.118.616.816.710.811.5———————————————————————————————————————————————————————————————————
D3DPN=243, H=20, K=10, Strategy=J-Best, Real-world feasibility=Not feasible, Category=Probabilistic, Input=Ground Truth 2D keypoints2023.0318.418.718.218.417.818.620.920.217.723.821.818.517.417.413.113.6———————————————————————————————————————————————————————————————————
KTPFormerT (Number of input frames)=243, Input type=Ground Truth 2D pose2025.011919.618.618.518.118.722.120.818.322.822.418.818.118.413.915.2———————————————————————————————————————————————————————————————————
D3DPN=243, H=20, K=10, Strategy=P-Best, Real-world feasibility=Not feasible, Category=Probabilistic, Input=Ground Truth 2D keypoints2023.0319.419.719.319.218.819.621.921.218.624.72319.418.418.413.914.4———————————————————————————————————————————————————————————————————
DenseWarperInput Type=Sparse, 2D Pose Detector=SimpleBaseline2026.0519.420.322.917.818.217.91915.617.421.327.318.918.2—1916.6———————————————————————————————————————————————————————————————————
D3DPN=243, H=20, K=10, Strategy=J-Agg, Category=Probabilistic, Input=Ground Truth 2D keypoints2023.0319.619.919.419.41919.82221.419.124.823.219.618.718.61414.5———————————————————————————————————————————————————————————————————
D3DPN=243, H=20, K=10, Strategy=P-Agg, Category=Probabilistic, Input=Ground Truth 2D keypoints2023.0319.819.919.519.619.220.122.421.519.125.423.72018.918.81414.5———————————————————————————————————————————————————————————————————
D3DPN=243, H=1, K=1, Category=Deterministic, Input=Ground Truth 2D keypoints2023.0319.919.919.619.719.320.222.721.519.225.52420.118.9191414.5———————————————————————————————————————————————————————————————————
D3DPN=243, H=1, K=1, Strategy=P-Agg, Category=Probabilistic, Input=Ground Truth 2D keypoints2023.0319.919.919.619.719.320.222.721.519.225.52420.118.9191414.5———————————————————————————————————————————————————————————————————
D3DPN=243, H=1, K=1, Strategy=P-Best, Real-world feasibility=Not feasible, Category=Probabilistic, Input=Ground Truth 2D keypoints2023.0319.919.919.619.719.320.222.721.519.225.52420.118.9191414.5———————————————————————————————————————————————————————————————————
SgraformerInput Type=Multi-view full-frame, 2D Pose Detector=SimpleBaseline2026.0519.919.920.118.118.220.820.317.117.72326.221.918.6—17.717.9———————————————————————————————————————————————————————————————————
TCPFormerT (Number of input frames)=81, Input type=Ground Truth 2D pose2025.0120.519.219.620.218.320.72420.920.326.926.921.618.519.615.715.4———————————————————————————————————————————————————————————————————
AdafuseInput Type=Multi-view full-frame, 2D Pose Detector=SimpleBaseline2026.0520.72122.419.120.920.820.219.42022.223.121.320.1—19.418.1———————————————————————————————————————————————————————————————————
Adafuse + MCCInput Type=Multi-view interpolated, Interpolation Method=MCC, 2D Pose Detector=SimpleBaseline2026.0520.720.522.618.82120.52119.119.422.623.321.620.1—19.418.4———————————————————————————————————————————————————————————————————
Adafuse + SLERPInput Type=Multi-view interpolated, Interpolation Method=SLERP, 2D Pose Detector=SimpleBaseline2026.0520.720.922.41922.220.820.219.319.922.22321.220.1—19.318.1———————————————————————————————————————————————————————————————————
GLA-GCNT (Number of input frames)=243, Input type=Ground Truth 2D pose2025.012120.121.22019.621.526.723.319.82729.420.820.119.212.813.8———————————————————————————————————————————————————————————————————
MixSTEN=243, Category=Deterministic, Input=Ground Truth 2D keypoints, Implementation=Our implementation2023.0321.322.921.72121.420.823.524.121.825.323.521.420.119.515.316.6———————————————————————————————————————————————————————————————————
STCFormerT (Number of input frames)=243, Input type=Ground Truth 2D pose2025.0121.320.821.82020.623.42523.619.327.826.121.620.619.514.315.1———————————————————————————————————————————————————————————————————
MixSTEinput=GT, T=2432022.0321.621.62220.42120.824.324.721.926.924.921.221.520.814.715.7———————————————————————————————————————————————————————————————————
MixSTEN=243, Category=Deterministic, Input=Ground Truth 2D keypoints2023.0321.621.62220.42120.826.324.721.926.924.921.221.520.814.715.7———————————————————————————————————————————————————————————————————
MixSTET=243, input=GT 2D, architecture=spatio-temporal Transformer2022.1021.621.62220.42120.824.324.721.926.924.921.221.520.814.715.6———————————————————————————————————————————————————————————————————
MixSTET (Number of input frames)=243, Input type=Ground Truth 2D pose2025.0121.621.62220.42120.824.324.721.926.924.921.221.520.814.715.7———————————————————————————————————————————————————————————————————
AdafuseInput Type=Sparse, 2D Pose Detector=SimpleBaseline2026.0521.722.522.619.722.521.520.92020.522.523.421.720.6—23.320.9———————————————————————————————————————————————————————————————————
DUEN=300, Category=Deterministic, Input=Ground Truth 2D keypoints2023.032222.123.120.122.721.324.123.621.626.324.821.721.421.816.718.7———————————————————————————————————————————————————————————————————
Wang et al.input=GT, T=962022.0325.6——————————————————————————————————————————————————————————————————————————————————
UGCNT=96, input=GT 2D2022.1025.62325.722.822.624.130.624.924.531.13525.624.325.119.818.4———————————————————————————————————————————————————————————————————
FinePoseInput Type=Single-view, 2D Pose Detector=SimpleBaseline, Time Frames (T)=2432026.0525.624.826.324.7242728.122.423.833.733.327.424.6—19.218.5———————————————————————————————————————————————————————————————————
KTPFormerFrames=T=243, Temporal info=true, Diffusion-based=true, Evaluation Protocol=P-MPJPE, 2D Detector=CPN2024.0326.224.126.724.224.927.330.625.223.434.135.928.125.325.917.818.8———————————————————————————————————————————————————————————————————
Fusion-RPSMAlignment protocol=No Procrustes alignment, Additional training data=MPII2019.0926.21——————————————————————————————————————————————————————————————————————————————————
Epipolar transformersProtocol=Protocol 1, Coordinate Space=Absolute positions, Training Setup=No additional training data2021.1026.925.727.723.724.826.931.424.926.528.831.728.226.423.628.323.5———————————————————————————————————————————————————————————————————
CrossFormerProtocol=Protocol 1, Input=Ground Truth 2D pose, f=812022.0328.3263026.826.2283130.429.635.437.128.427.326.720.519.9———————————————————————————————————————————————————————————————————
STEN=351, Category=Deterministic, Input=Ground Truth 2D keypoints2023.0328.527.129.426.527.128.63330.726.838.234.729.129.826.819.119.8———————————————————————————————————————————————————————————————————
D3DPPublication=ICCV’23, Frames=T=243, Temporal info=true, Diffusion-based=true, Evaluation Protocol=P-MPJPE, 2D Detector=CPN2024.0328.727.529.426.627.729.234.327.526.237.33930.327.728.219.620.3———————————————————————————————————————————————————————————————————
Ours (h_weight)Protocol=Protocol 1, Coordinate Space=Absolute positions, Training Setup=No additional training data2021.1029.127.528.429.327.530.128.127.930.832.932.530.829.428.530.530.1———————————————————————————————————————————————————————————————————
P-STMON=2432022.0329.328.530.128.627.929.833.231.327.83637.429.729.528.12121———————————————————————————————————————————————————————————————————
P-STMON=243, Input=GT 2D poses2022.0329.328.530.128.627.929.833.231.327.83637.429.729.528.12121———————————————————————————————————————————————————————————————————
P-STMON=243, Category=Deterministic, Input=Ground Truth 2D keypoints2023.0329.328.530.128.627.929.833.231.327.83637.429.729.528.12121———————————————————————————————————————————————————————————————————
P-STMOT=243, input=GT 2D, architecture=spatio-temporal Transformer2022.1029.328.530.128.627.929.833.231.327.83637.429.729.528.12121———————————————————————————————————————————————————————————————————
P-STMOT (Number of input frames)=243, Input type=Ground Truth 2D pose2025.0129.328.530.128.627.929.833.231.327.83637.429.729.528.12121———————————————————————————————————————————————————————————————————
PoseRNNumber of joints=42021.0729.6——————————————————————————————————————————————————————————————————————————————————
SnapPose3DH=20, Selection Strategy=B, Input=CPN detections2026.0429.730.829.22927.828.231.630.63332.133.329.627.228.327.924.5———————————————————————————————————————————————————————————————————
Shan et al.N=2432022.0330.128.530.828.829.130.735.231.727.834.53630.329.428.224.124.7———————————————————————————————————————————————————————————————————
Shan et al.N=243, Input=GT 2D poses2022.0330.129.530.828.829.130.735.231.727.834.53630.329.428.224.124.7———————————————————————————————————————————————————————————————————
RIEN=243, Category=Deterministic, Input=Ground Truth 2D keypoints2023.0330.129.530.828.829.130.735.231.727.834.53630.329.428.924.124.7———————————————————————————————————————————————————————————————————
Remelli et al.Protocol=Protocol 1, Coordinate Space=Absolute positions, Training Setup=No additional training data2021.1030.227.332.12526.529.335.428.831.636.431.731.229.926.933.730.4———————————————————————————————————————————————————————————————————
MHFormerN=351, H=3, Strategy=P-Agg, Category=Probabilistic, Input=Ground Truth 2D keypoints2023.0330.527.732.129.128.93033.93331.23739.330.33129.422.223———————————————————————————————————————————————————————————————————
MHFormerT=351, input=GT 2D, architecture=spatio-temporal Transformer2022.1030.527.732.129.128.93033.93331.23739.3303129.422.223———————————————————————————————————————————————————————————————————
MHFormerT (Number of input frames)=351, Input type=Ground Truth 2D pose2025.0130.527.732.129.128.93033.93331.23739.3303129.422.223———————————————————————————————————————————————————————————————————
Sun et al.Protocol=Protocol 2, Setting=Paired, uses_soft_argmax=true2019.0430.6——————————————————————————————————————————————————————————————————————————————————
MixSTEdetector=HRNet, T=243, protocol=Protocol #22022.0330.62830.928.630.730.434.628.628.137.147.330.529.730.521.620———————————————————————————————————————————————————————————————————
stochastic framework for human pose triangulationTrain Dataset=CMU Panoptic Studio, Train Camera Configuration=CMU32021.1031———————————————————————————————————————————————8.8——————————————————————————————————
DiffPyramidparams=1.86M2025.0631——————————————————————————————————————————————————————————————————————————————————
PoseMoET=243, 2D Pose Detector=CPN2025.123129.331.730.52931.636.427.829.44043.632.928.821.330.722.1———————————————————————————————————————————————————————————————————
Fusion-RPSMAlignment protocol=No Procrustes alignment, Additional training data=None2019.0931.17——————————————————————————————————————————————————————————————————————————————————
DDHPoseProtocol=P-MPJPE, N=243, H=1, W=12024.0331.229.531.928.730.131.335.529.729.541.842.933.429.730.421.722.6———————————————————————————————————————————————————————————————————
DDHPoseProtocol=P-MPJPE, Method category=Probabilistic, N=243, H=5, W=12024.0331.229.531.828.730.131.335.629.729.541.742.933.429.630.421.722.6———————————————————————————————————————————————————————————————————
DDHPoseProtocol=P-MPJPE, Method category=Probabilistic, N=243, H=20, W=102024.0331.229.432.128.430.13135.329.529.241.742.733.229.730.621.522.2———————————————————————————————————————————————————————————————————
Cross-view fusionProtocol=Protocol 1, Coordinate Space=Absolute positions, Training Setup=No additional training data2021.1031.228.932.526.628.128.329.32836.84130.535.63028.33030.5———————————————————————————————————————————————————————————————————
PoseFormerProtocol=Protocol 1, Input=Ground Truth 2D pose, f=812022.0331.33033.629.93130.233.334.831.437.838.631.731.52923.323.1———————————————————————————————————————————————————————————————————
Zheng et al.N=812022.0331.33033.629.93130.233.334.831.437.838.631.731.52923.323.1———————————————————————————————————————————————————————————————————
Zheng et al.N=81, Input=GT 2D poses2022.0331.33033.629.93130.233.334.831.437.838.631.731.52923.323.1———————————————————————————————————————————————————————————————————
PoseFormerN=81, Category=Deterministic, Input=Ground Truth 2D keypoints2023.0331.33033.629.93130.233.334.831.437.838.631.731.52923.323.1———————————————————————————————————————————————————————————————————
PoseFormerT=81, input=GT 2D, architecture=spatio-temporal Transformer2022.1031.33033.629.93130.233.334.831.437.838.631.731.52923.323.1———————————————————————————————————————————————————————————————————
KTP-FormerInput Type=Single-view, 2D Pose Detector=SimpleBaseline, Time Frames (T)=2432026.0531.428.631.128.328.932.734.92929.239.947.333.529—22.423.9———————————————————————————————————————————————————————————————————
D3DPProtocol=P-MPJPE, Method category=Probabilistic, N=243, H=20, W=102024.0331.630.632.429.230.931.937.430.229.340.443.233.230.431.321.522.3———————————————————————————————————————————————————————————————————
STCFormerProtocol=P-MPJPE, Method category=Deterministic: Non-Disentangle-based, N=2432024.0331.829.33330.730.632.738.229.728.842.24533.329.431.520.922.3———————————————————————————————————————————————————————————————————
GraphMDNN=1, H=5, Strategy=P-Best, Real-world feasibility=Not feasible, Category=Probabilistic, Input=Ground Truth 2D keypoints2023.0331.828.934.528.230.231.538.532.328.635.743.331.932.133.325.227.8———————————————————————————————————————————————————————————————————
STCFormerPublication=CVPR’23, Frames=T=243, Temporal info=true, Diffusion-based=false, Evaluation Protocol=P-MPJPE, 2D Detector=CPN2024.0331.829.33330.730.632.738.229.728.842.24533.329.431.520.922.3———————————————————————————————————————————————————————————————————
STCFormerVenue=CVPR’23, T=243, 2D Pose Detector=CPN2025.1231.829.33330.730.632.738.229.728.842.24533.329.431.520.922.3———————————————————————————————————————————————————————————————————
KTPFormerFrames=T=243, Temporal info=true, Diffusion-based=false, Evaluation Protocol=P-MPJPE, 2D Detector=CPN2024.0331.930.132.329.630.832.337.33030.24145.333.629.931.421.522.6———————————————————————————————————————————————————————————————————
KTPFormerVenue=CVPR’24, T=243, 2D Pose Detector=CPN2025.1231.930.132.329.630.832.337.33030.24145.333.629.931.421.522.6———————————————————————————————————————————————————————————————————
SRNetProtocol=Protocol 1, Input=Ground Truth 2D pose2022.033234.832.128.530.731.436.935.630.538.940.532.53129.922.524.5———————————————————————————————————————————————————————————————————
Zeng et al.N=2432022.033234.832.128.530.731.436.935.630.538.940.532.53129.922.524.5———————————————————————————————————————————————————————————————————
Zeng et al.N=243, Input=GT 2D poses2022.033234.832.128.530.731.436.935.630.538.940.532.53129.922.524.5———————————————————————————————————————————————————————————————————
SRNetN=243, Category=Deterministic, Input=Ground Truth 2D keypoints2023.033234.832.128.530.731.436.935.630.538.940.532.53129.922.524.5———————————————————————————————————————————————————————————————————
DiffPoseH=200, Selection Strategy=B, Input=CPN detections2026.043228.131.52830.833.635.328.527.640.844.631.832.132.628.126.8———————————————————————————————————————————————————————————————————
Chen et al.Protocol=Protocol 1, Input=Ground Truth 2D pose, f=2432022.0332.3——————————————————————————————————————————————————————————————————————————————————