List your company

3D Human Pose Estimation on Human3.6M (Protocol 2)

14.3Average MPJPEGT Vol. Heatmaps
13.16420.83228.536.168Nov 25, 2017Apr 2, 2019Aug 7, 2020Dec 14, 2021Apr 21, 2023Aug 26, 2024Jan 2, 2026

Evaluation results

MethodLinks
GT Vol. HeatmapsN=14, Rigid Alignment=true2020.0414.3———————————————————
GT Vol. HeatmapsN=14, Rigid Alignment=false2020.0415———————————————————
Liftformern=243, Input Keypoints=GT2020.0923.122.325.222.1222324.521.629.330.323.724.923.415.622.216.2————
Liftformern=243, Input Keypoints=GT, Weight Sharing=true2020.0923.422.725.322.722.423.224.521.929.531.223.525.623.516.622.616.3————
Liftformern=81, Input Keypoints=GT2020.0925.423.727.224.624.125.826.823.932.833.625.627.524.118.124.418.8————
Liftformern=81, Input Keypoints=GT, Weight Sharing=true2020.0926.124.328.126.224.825.927.42433.134.626.228.625.81924.519.6————
Pavllo et al.n=243, Input Keypoints=GT2020.0927.2———————————————————
Liftformern=27, Input Keypoints=GT2020.0927.625.429.228.626.227.629.125.133.434.628.12927.421.326.322.6————
Liftformern=27, Input Keypoints=GT, Weight Sharing=true2020.0927.925.429.928.326.428.12925.633.234.72830.32821.327.222.4————
D3DPN=243, H=20, K=10, Aggregation=J-Best, 2D Detector=CPN [11], Type=Probabilistic2023.0328.727.529.426.627.729.227.526.237.33930.334.327.719.628.220.3————
D3DPN=243, H=20, K=10, Aggregation=P-Best, 2D Detector=CPN [11], Type=Probabilistic2023.0331.230.232.128.830.431.529.828.939.942.432.8373021.330.922.1————
D3DPN=243, H=20, K=10, Aggregation=J-Agg, 2D Detector=CPN [11], Type=Probabilistic2023.0331.630.632.429.230.931.930.229.340.443.233.237.430.421.531.322.3————
D3DPN=243, H=1, K=1, 2D Detector=CPN [11], Type=Deterministic2023.0331.730.632.529.13131.930.329.440.643.633.337.630.521.531.422.4————
D3DPN=243, H=1, K=1, Aggregation=P-Agg, 2D Detector=CPN [11], Type=Probabilistic2023.0331.730.632.529.13131.930.329.440.643.633.337.630.521.531.422.4————
D3DPN=243, H=20, K=10, Aggregation=P-Agg, 2D Detector=CPN [11], Type=Probabilistic2023.0331.730.632.529.130.931.930.229.440.643.433.337.530.421.531.422.4————
D3DPN=243, H=1, K=1, Aggregation=P-Best, 2D Detector=CPN [11], Type=Probabilistic2023.0331.730.632.529.13131.930.329.440.643.633.337.630.521.531.422.4————
S3HTProtocol=Protocol #22021.0431.827.329.237.231.533.129.230.732.54234.636.92823.334.727.5————
NFN=1, H=200, Aggregation=P-Best, Type=Probabilistic2023.0332.427.931.429.730.234.927.328.23946.134.237.132.326.133.627.5————
DUEN=300, 2D Detector=CPN [11], Type=Deterministic2023.0332.530.334.629.631.731.631.831.939.242.832.138.932.625.131.423.8————
MixSTEN=243, 2D Detector=CPN [11], Type=Deterministic2023.0332.630.833.130.331.833.131.130.542.544.53439.130.822.132.722.9————
MixSTEN=243, 2D Detector=CPN [11], Type=Deterministic, Note=Our implementation2023.0332.630.832.730.631.933.130.830.442.446.434.238.630.721.832.322.6————
MixSTET=243, K=12023.1232.630.833.130.331.833.131.130.542.544.53439.130.822.132.722.9————
Pipeline (Ours)Detection source=In-house tracking algorithm, End-to-end=true, Precision=16-bit floating-point, Acceleration=TensorRT, Protocol=Protocol 22026.0132.6423.3831.2737.6623.9347.7523.3526.4358.6150.2939.7225.5924.7325.2227.8123.93————
UGCN2D Pose=HR-Net2020.0432.728.432.534.432.332.530.429.342.645.23340.93224.233.222.9————
CVAEN=1, H=200, Aggregation=P-Best, Type=Probabilistic2023.0332.727.627.534.932.333.328.72836.142.73642.730.724.337.627.1————
U-CDGCNN=96, 2D Detector=CPN [11], Type=Deterministic2023.0333.829.834.431.931.535.130.330.842.64935.94031.825.73523.6————
ManiPoseT=243, K=52023.1234.131.935.730.833.5343331.441.145.93639.832.324.735.425.8————
CrossFormerf=812022.0334.331.434.632.633.734.331.63144.349.335.939.731.323.434.425.5————
P-STMON=243, 2D Detector=CPN [11], Type=Deterministic2023.0334.431.335.232.933.935.432.531.544.648.236.339.332.923.834.423.9————
MHFormerN=351, H=3, Aggregation=P-Agg, 2D Detector=CPN [11], Type=Probabilistic2023.0334.431.534.932.833.635.33232.243.548.736.439.632.623.934.325.1————
MHFormerDetection source=Ground Truth, Protocol=Protocol 22026.0134.4831.3634.9132.8133.8535.3231.9232.2243.5648.9636.3639.6332.5823.8534.4225.1————
UGCN2D Pose=CPN, refine module=adopted2020.0434.531.834.335.433.535.431.131.644.44936.441.732.224.93523————
UGCNT=96, K=12023.1234.531.834.335.433.535.431.131.644.44936.441.732.224.93523————
PoseFormerf=812022.0334.632.534.832.634.635.332.13242.848.534.839.532.424.535.326————
PoseFormerN=81, 2D Detector=CPN [11], Type=Deterministic2023.0334.632.534.832.634.635.332.13242.848.534.839.532.424.535.336————
Liftformern=243, Input Keypoints=CPN2020.093532.235.234.334.836.132.731.444.949.736.240.532.823.934.824.9————
RIEN=243, 2D Detector=CPN [11], Type=Deterministic2023.033532.536.233.235.335.632.631.942.647.936.642.132.124.234.825.8————
AnatomyN=243, 2D Detector=CPN [11], Type=Deterministic2023.033532.635.132.835.436.332.432.342.74936.840.432.424.93626.5————
Anatomy3DT=243, K=12023.123532.635.132.835.436.332.432.342.74936.840.432.424.93626.5————
Anatomy3DDetection source=Ground Truth, Protocol=Protocol 22026.0135.1233.0135.2932.6335.3735.8532.8632.542.3349.6936.8840.4332.4725.0236.1326.34————
Moon ICCV'19Approach category=Direct, Root GT Depth=true2019.1035.232.531.541.536.736.331.933.236.544.436.738.731.225.637.130.5————
Moon et al. ICCV'19Protocol=Protocol #22021.0435.232.531.541.536.736.331.933.236.544.436.738.731.225.637.130.5————
STEN=351, 2D Detector=CPN [11], Type=Deterministic2023.0335.232.735.532.535.435.93331.945.150.136.341.633.523.935.125————
PoseFormerf=81, Pre-training status=no PT2022.0335.333.535.633.535.636.132.832.543.549.335.440.433.225.336.326.6————
UGCN2D Pose=CPN2020.0435.532.935.235.634.436.431.232.545.650.237.342.732.82636.323.9————
UGCNf=962022.0335.532.935.235.634.436.431.232.545.650.237.342.732.82636.323.9————
Liu et al.2020.0935.632.335.233.335.835.933.232.744.650.93741.532.425.23727.2————
Attention-Based Neural Network with Dilated ConvolutionsProtocol=2, Number of Frames (n)=243, 2D joints detector=CPN2021.0335.632.335.233.335.835.933.232.744.650.93741.532.425.23727.2————
Liu et al.f=243, Input 2D pose detection=CPN2022.0335.632.335.233.335.835.933.232.744.650.93741.532.425.23727.2————
Chen et al.f=81, Input 2D pose detection=CPN2022.0335.633.135.333.435.936.132.833.342.649.43741.732.725.536.527.9————
Liu et al.T=243, K=12023.1235.632.335.233.335.835.933.232.744.650.93741.532.425.23727.2————
PoseFormerV2Detection source=Ground Truth, Protocol=Protocol 22026.0135.6432.3435.8733.7835.8135.9733.1732.7144.2651.9337.4241.1332.8425.2335.5826.56————
Liftformern=81, Input Keypoints=CPN2020.0935.832.936.335.135.737.132.932.544.550.136.941.33325.236.526.6————
TP-NetProtocol=2, Training Datasets=Human3.6M, MPII 2D2017.1136.32830.739.134.437.128.931.239.360.639.344.831.125.337.828.4————
Dabraltemporal information=true2019.0736.3———————————————————
Dabral2020.0436.32830.739.134.437.128.931.239.360.639.344.831.125.337.828.4————
Dabral et al.2020.0936.32830.739.134.437.131.239.360.639.344.828.931.137.825.328.4————
Dabral et al.Protocol=22021.0336.32830.739.134.437.128.931.239.360.639.344.831.125.337.237.8————
GraphMDNN=1, H=200, Aggregation=P-Best, Type=Probabilistic2023.0336.330.834.733.634.239.63131.942.953.538.142.234.129.63831.1————
Pavllo2020.0436.534.136.134.437.236.434.433.64552.537.442.233.825.637.827.3————
Pavllo et al.n=243, Input Keypoints=CPN2020.0936.534.136.134.437.236.434.433.64552.537.442.233.825.637.827.3————
Pavllo et al.Protocol=22021.0336.534.136.134.437.236.434.433.64552.537.442.233.825.637.827.3————
Pavllo et al.f=243, Input 2D pose detection=CPN2022.0336.534.136.134.437.236.434.433.64552.537.442.233.825.637.827.3————
TCNN=243, 2D Detector=CPN [11], Type=Deterministic2023.0336.534.136.134.437.236.434.433.64552.537.442.233.825.637.827.3————
Zheng et al.T=81, K=12023.1236.534.136.134.437.236.434.433.64552.537.442.233.825.637.827.3————
VideoPose3DDetection source=Ground Truth, Protocol=Protocol 22026.0136.5334.1236.1234.4337.2236.3934.4233.5945.0352.5337.3742.233.825.6437.7527.8————
SRNetShuffled Groups=02020.0736.6———————————————————
Lin2020.0436.832.535.334.336.237.832.232.246.541.438.445.732.825.837.528.9————
Lin et al.f=502022.0336.832.535.334.336.237.83332.245.751.838.44332.825.837.528.9————
Pavllo et al.T=243, K=12023.1236.834.236.833.937.537.134.433.545.352.737.743.234.125.83827.7————
DeepFuseIMU sensor fusion=true2019.1237.526.83225.632.133.325.825.940.576.639.142.354.525.135.924.2————
Liftformern=27, Input Keypoints=CPN2020.0937.634.137.637.137.538.634.133.746.751.439.543.53425.338.829.8————
Ours (Full-4s)Backbone=Stacked Hourglass (4 stacks)2018.0337.726.930.936.339.943.928.829.436.958.441.547.430.542.529.532.2————
Yang CVPR'18Approach category=Direct, Root GT Depth=true2019.1037.726.930.936.339.943.928.829.436.958.441.547.430.542.529.532.2————
PoseLifterApproach category=Cascade, Root GT Depth=false2019.1037.732.134.943.436.935.435.130.834.357.340.444.935.124.946.630————
Chang et al.2020.0937.732.134.943.436.935.430.834.357.340.444.935.135.146.624.930————
Yang et al.Protocol=22021.0337.726.930.936.339.943.928.829.436.958.441.547.430.542.529.532.2————
RepNet+2DGT (Ours)WS (Weakly Supervised)=true, Input type=Ground Truth 2D Labels2019.0238.233.638.832.637.53637.834.939.25237.544.139.834.140.334.9————
Wandt et al.2020.0938.233.638.832.637.53637.834.939.25237.544.139.840.334.134.9————
RS-NetEvaluation Protocol=Protocol #22023.0538.634.238.235.640.838.5363443.956.23841.836.331.240.233.3————
RS-Net2D Detector/Input Type=CPN, Evaluation Protocol=Protocol #22023.0538.935.538.336.140.539.237.134.94549.140.244.835.43141.534.3————
Cairefine module=adopted2020.043935.737.836.940.739.637.434.546.950.140.545.236.129.64133.2————
Cai et al.f=72022.033935.737.836.940.739.637.434.546.950.140.545.236.129.64132.3————
ST-GCNT=1, K=12023.123935.737.836.940.739.637.434.546.950.140.545.236.129.64133.2————
Zou et al.Evaluation Protocol=Protocol #2, Reference=[17]2023.0539.135.738.636.340.539.23735.446.451.240.544.535.630.741.733.9————
MGCNT=1, K=12023.1239.135.738.636.340.539.23735.446.451.240.544.535.630.741.733.9————
Zheng et al.Number of Frames (f)=1, Evaluation Protocol=Protocol #22023.0539.93639.537.440.940.236.435.647.953.941.445.636.530.842.334.3————
Zhang et al.Number of Frames (f)=1, Evaluation Protocol=Protocol #22023.0540.236.138.938.841.140.537.236.248.954.141.14536.731.142.435.2————
Sun [46]temporal information=false2019.0740.6———————————————————
Sun ECCV'18Approach category=Direct, Root GT Depth=true2019.1040.636.936.240.640.441.934.935.750.159.440.444.93930.839.836.7————
Sun et al. ECCV'18Protocol=Protocol #22021.0440.636.936.240.640.441.934.935.750.159.440.444.93930.839.836.7————
CVAEN=1, H=200, Aggregation=P-Agg, Type=Probabilistic2023.0340.935.335.945.84240.936.935.843.551.944.352.638.829.445.534.3————
Liu et al.Evaluation Protocol=Protocol #22023.0541.235.9403841.542.537.83648.656.641.851.438.331.742.736.2————
Pavlakos2020.0441.834.739.841.838.642.53836.650.756.842.647.539.632.143.936.5————
Pavlakos et al.Protocol=22021.0341.834.739.841.838.642.53836.650.756.842.647.539.632.143.936.5————
Pavlakos et al.2022.0341.834.739.841.838.642.53836.650.756.842.647.539.632.143.936.5————
Hossaintemporal information=true2019.0742———————————————————
SAP-NetProtocol=2, Training Datasets=Human3.6M, MPII 2D2017.1142.232.836.842.538.542.435.434.353.666.246.54934.13042.339.7————
MDNN=1, H=5, Aggregation=P-Best, Type=Probabilistic2023.0342.635.539.841.342.34636.937.35160.644.948.940.233.144.136.9————
Rogez et al. TPAMI'19Protocol=Protocol #22021.0442.7———————————————————