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3D Human Pose Estimation on Human3.6M S9 and S11 (test)

28.8Dir. ErrorDiffPose
24.64452.69780.75108.803Jul 4, 2018May 10, 2019Mar 16, 2020Jan 20, 2021Nov 27, 2021Oct 3, 2022Aug 10, 2023

Evaluation results

MethodLinks
DiffPoseInput 2D Poses=Ground Truth2022.1128.831.632.727.830.932.838.932.228.333.3413132.131.525.927.5——
ZhaoInput 2D Poses=Ground Truth, Reference=[52]2022.113235.23830.434.434.743.335.231.43846.234.235.736.127.430.6——
DC-GCT2D Pose Detector=High-Resolution Net (HRNet), Refinement Module=No2023.0833.3—37.534.739.138.241.835.833.24455.137.936.14029.931.937.9—
FusionformerProtocol=Protocol #2, f (number of input frames)=92022.1033.937.93836.43838.444.33434.946.751.939.134.44027.531.1——
Hassan et al.2D Pose Detector=High-Resolution Net (HRNet), Refinement Module=Yes2023.0834.2—38.235.640.838.541.8363443.956.23836.340.231.233.338.6—
DC-GCT2D Pose Detector=Cascaded Pyramid Network (CPN), Refinement Module=No2023.0834.4—37.735.639.539.544.535.934.244.950.139.834.741.529.532.338.3—
Pavlakos et al.Protocol=Protocol #22022.1034.741.839.841.838.642.547.53836.650.756.842.639.643.932.136.5——
DC-GCT2D Pose Detector=Cascaded Pyramid Network (CPN), Refinement Module=Yes2023.0834.7—37.835.439.839.444.136.234.244.548.639.934.941.129.532.538.2—
DC-GCT2D Pose Detector=High-Resolution Net (HRNet), Refinement Module=Yes2023.0834.7—38.234.739.738.342.136.133.844.354.637.936.640.630.332.138.3—
Lee et al.Protocol=Protocol #22022.1034.943.435.243.242.646.25537.638.850.967.348.935.250.73134.6——
Cai et al.2D Pose Detector=Cascaded Pyramid Network (CPN), Refinement Module=No2023.0835.1—38.636.639.439.843.836.734.745.352.839.935.441.831.233.539—
HossainInput 2D Poses=Ground Truth2022.1135.239.240.837.237.443.24438.935.642.344.639.739.740.232.835.5——
Hossain et al.Protocol=Protocol #22022.1035.744.139.344.64347.25438.337.551.661.346.541.447.334.239.4——
cai et al.Protocol=Protocol #22022.1035.73937.836.940.739.645.237.434.546.950.141.436.94129.633.2——
Zou et al.2D Pose Detector=Cascaded Pyramid Network (CPN), Refinement Module=Yes2023.0835.7—38.636.340.539.244.53735.446.451.240.535.641.730.733.939.1—
XuInput 2D Poses=Ground Truth2022.1135.835.838.13135.335.843.237.331.738.445.535.436.736.827.930.7——
Zeng et al.2D Pose Detector=Cascaded Pyramid Network (CPN), Refinement Module=No2023.0835.8—39.236.636.939.845.138.436.947.754.438.636.339.430.335.439.4—
Liu et al.2D Pose Detector=Cascaded Pyramid Network (CPN), Refinement Module=No2023.0835.9—403841.542.551.437.83648.656.641.838.342.731.736.241.2—
Pavllo et al.Protocol=Protocol #22022.10364038.73941.740.145.937.135.446.853.444.340.543.130.334.8——
LiuInput 2D Poses=Ground Truth2022.1136.837.840.33336.337.54539.734.940.347.737.438.538.629.632——
Cai et al.2D Pose Detector=Cascaded Pyramid Network (CPN), Refinement Module=Yes2023.0836.8—38.738.241.740.746.837.935.647.651.741.336.842.73134.740.2—
Ci et al.2D Pose Detector=Cascaded Pyramid Network (CPN), Refinement Module=No2023.0836.9—41.6384141.951.138.237.649.162.143.139.943.532.23742.2—
MartinezInput 2D Poses=Ground Truth2022.1137.745.544.440.342.148.254.944.442.154.65845.146.447.636.440.4——
ZhaoInput 2D Poses=Ground Truth, Reference=[51]2022.1137.843.849.437.640.945.141.440.148.350.142.253.544.340.547.339——
Fang et al.Protocol=Protocol #22022.1038.245.741.743.744.948.555.340.238.254.564.447.244.347.336.741.7——
Martinez et al.Protocol=Protocol #22022.1039.547.743.246.447515641.440.656.569.449.24549.53843.1——
Martinez et al.2D Pose Detector=Stacked Hourglass Network (SH), Refinement Module=No2023.0839.5—43.246.447515641.440.656.569.449.24549.53843.147.7—
Lee et al.Protocol=Protocol #12022.1040.252.849.247.852.650.17550.24355.873.954.155.658.243.343.3——
DC-GCT2D Pose Detector=High-Resolution Net (HRNet), Refinement Module=Yes2023.0840.646.14742.246.746.850.844.641.853.263.544.945.1483838.7——
Hassan et al.2D Pose Detector=High-Resolution Net (HRNet), Refinement Module=Yes2023.08414746.84448.447.550.745.442.353.665.845.645.248.939.740.6——
dual loss convolutional autoencoder2018.0741.7—43.252.97064.98357.363.561957062.3—53.752.462.566.2
Sun et al.Protocol=Protocol #22022.1042.148.344.34545.451.55343.241.359.373.351444838.344.8——
DC-GCT2D Pose Detector=Cascaded Pyramid Network (CPN), Refinement Module=Yes2023.0842.247.447.344.647.649.756.145.343.855.359.448.544.75136.838.3——
DC-GCT2D Pose Detector=High-Resolution Net (HRNet), Refinement Module=No2023.0842.247.247.64347.747.652.746.142.954.165.246.445.449.238.439.6——
DiffPoseInput 2D Poses=CPN2022.1142.849.749.145.248.752.163.546.345.258.666.350.447.65237.640.2——
DC-GCT2D Pose Detector=Cascaded Pyramid Network (CPN), Refinement Module=No2023.0843.348.448.144.748.250.358.245.744.856.362.449.145.452.937.238.9——
FusionformerProtocol=Protocol #1, f (number of input frames)=92022.104448.749.446.447.3515845.545.258.966.549.145.850.835.238——
Cai et al.2D Pose Detector=Cascaded Pyramid Network (CPN), Refinement Module=No2023.084448.94945.247.850.356.647.24556.365.848.74652.439.140.2——
Zeng et al.2D Pose Detector=Cascaded Pyramid Network (CPN), Refinement Module=No2023.0844.549.948.247.147.851.256.850.145.659.966.452.145.354.239.140.3——
Zhang et al.2D Pose Detector=Cascaded Pyramid Network (CPN), Refinement Module=Yes2023.0844.849.149.145.649.35157.546.745.355.862.55146.752.838.140.6——
GraphSHProtocol=Protocol #12022.1045.251.949.947.550.954.966.148.546.359.771.551.448.653.939.944.1——
XuInput 2D Poses=CPN2022.1145.251.949.947.550.954.966.148.546.359.771.551.448.653.939.944.1——
ZhaoInput 2D Poses=CPN, Reference=[52]2022.1145.251.850.8485054.96548.247.160.27051.648.754.139.743.1——
Xu et al.2D Pose Detector=Cascaded Pyramid Network (CPN), Refinement Module=No2023.0845.251.949.947.550.954.966.148.546.359.771.551.448.653.939.944.1——
Zhao et al.2D Pose Detector=Cascaded Pyramid Network (CPN), Refinement Module=No2023.0845.251.850.8485054.96548.247.160.27051.648.754.139.743.1——
MGCNProtocol=Protocol #12022.1045.449.449.245.749.450.458.247.94657.56349.746.652.238.940.8——
Zou et al.2D Pose Detector=Cascaded Pyramid Network (CPN), Refinement Module=Yes2023.0845.449.449.245.749.450.458.247.94657.56349.746.652.238.940.8——
LiuInput 2D Poses=CPN2022.1146.352.452.247.350.755.567.149.24660.471.151.550.154.540.343.7——
Liu et al.2D Pose Detector=Cascaded Pyramid Network (CPN), Refinement Module=No2023.0846.352.452.247.350.755.567.149.24660.471.151.550.154.540.343.7——
Cai et al.2D Pose Detector=Cascaded Pyramid Network (CPN), Refinement Module=Yes2023.0846.550.648.847.650.952.961.348.345.859.264.451.248.453.539.241.2——
Ci et al.2D Pose Detector=Cascaded Pyramid Network (CPN), Refinement Module=No2023.0846.852.752.344.750.452.968.949.646.460.278.951.25054.840.443.3——
Pavllo et al.Protocol=Protocol #12022.1047.151.850.64951.853.661.449.447.459.367.452.449.555.339.542.7——
Li et al.2D Pose Detector=Cascaded Pyramid Network (CPN), Refinement Module=No2023.0847.950.55047.151.351.259.548.746.95661.951.148.954.34042.9——
ZhaoInput 2D Poses=CPN, Reference=[51]2022.1148.260.860.851.86464.653.651.167.488.757.773.265.648.964.851.9——
Zhao et al.2D Pose Detector=Stacked Hourglass Network (SH), Refinement Module=No2023.0848.260.860.851.86464.653.651.167.488.757.773.265.668.948.964.8——
Hossain et al.Protocol=Protocol #12022.1048.458.350.757.255.263.172.65351.766.180.95957.362.446.649.6——
HossainInput 2D Poses=CPN2022.1148.458.350.757.255.263.172.65351.766.180.95957.362.446.649.6——
Pavlakos et al.Protocol=Protocol #12022.1048.556.254.454.45259.465.349.952.965.871.156.652.960.944.747.8——
Fang et al.Protocol=Protocol #12022.1050.160.454.35757.166.673.353.455.772.888.660.357.762.747.550.6——
YangInput 2D Poses=CPN2022.1151.558.658.950.45762.165.449.852.769.285.257.458.443.660.147.7——
Martinez et al.Protocol=Protocol #12022.1051.862.956.258.15969.578.455.258.17494.662.359.165.149.552.4——
MartinezInput 2D Poses=CPN2022.1151.862.956.258.15969.578.455.258.17494.662.359.165.149.552.4——
Martinez et al.2D Pose Detector=Stacked Hourglass Network (SH), Refinement Module=No2023.0851.862.956.258.15969.578.455.258.17494.662.359.165.149.552.4——
Martinez2018.0751.8—56.258.15969.578.455.258.17494.662.359.1—49.552.462.965.1
SunInput 2D Poses=CPN2022.1152.859.154.854.254.361.853.153.671.786.761.567.253.447.161.653.4——
Tekin et al.Protocol=Protocol #12022.1054.269.761.460.271.279.478.363.181.670.1107.369.370.374.351.863.2——
Lin2018.0758—68.363.365.875.393.161.265.798.7127.770.468.2—50.657.773.173
Tome2018.0765—73.576.886.486.3110.768.974.8110.2173.98585.8—71.473.188.486.3
PavlakosInput 2D Poses=CPN2022.1167.471.971.966.769.172776568.383.796.571.765.874.959.163.2——
Tekin2018.0785—108.884.498.9119.495.798.593.873.8170.485.1116.9—62.194.8100.1113.7
Trumble2018.0792.7—85.972.393.286.2101.275.17883.594.885.882—94.979.787.3114.6
Lin2018.07132.7—183.6132.4164.4162.1205.9150.6171.3151.6243162.1170.7—96.6127.9162.1177.1
Li et al.M=5, Protocol=Protocol 12021.11—52.7————————————————
MHFormerM=3, Protocol=Protocol 12021.11—43————————————————
OikarinenM=200, Protocol=Protocol 12021.11—46.2————————————————
PoseFormerProtocol=Protocol #1, f (number of input frames)=92022.10—49.9————————————————
Sharma et al.M=200, Protocol=Protocol 12021.11—46.8————————————————
Wehrbein et al.M=200, Protocol=Protocol 12021.11—44.3————————————————