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3D Human Pose Estimation on Human3.6M Protocol 1 (test)

17.5Dir. Error (Protocol 1)Reddy et al.
16.46823.43430.437.366Apr 6, 2019May 20, 2020Jul 5, 2021Aug 19, 2022Oct 4, 2023Nov 17, 2024Jan 2, 2026

Evaluation results

MethodLinks
Reddy et al.Input Type=Multi-view, Extrinsic Camera Parameters=Given, Exploit Temporal Information=true2021.0517.519.617.218.318.3181820.520.3—17.717.21918.9—18.717.8—19.4—
RTPCAInput Source=GT, Video-based=true2023.0918.519.518.519.119.621.619.126.225.3—22.319.312.518.5—19.512.8—19.1—
Iskakov et al.Input Type=Multi-view, Extrinsic Camera Parameters=Given2021.0519.92018.918.520.518.422.122.528.7—19.420.822.119.7—20.820.2—21.2—
GLA-GCNinput_source=GT, temporal_information=true, T=243, intermediate_3D_reconstruction=true2023.0720.121.22019.621.523.319.82729.4—26.720.112.819.2—2113.8—20.8—
MixSTET (number of input frames)=243, Temporal information usage=true, Transformer-based architecture=true, Input=2D Ground Truth Keypoints2022.0321.62220.42120.824.721.926.924.921.224.321.514.720.8—21.615.7———
Zhang et al.input_source=GT, temporal_information=true, intermediate_3D_reconstruction=true2023.0721.62220.42120.824.721.926.924.9—24.321.514.720.8—21.615.7—21.2—
Zhang et al.Input Source=GT, Video-based=true2023.0921.62220.42120.824.721.926.924.9—24.321.514.720.8—21.615.7—21.2—
Wang et al.T (number of input frames)=96, Input=2D Ground Truth Keypoints2022.032325.722.822.624.124.924.531.13525.630.624.319.825.1—25.618.4———
Wang et al.input_source=GT, temporal_information=true, intermediate_3D_reconstruction=true2023.072325.722.822.624.124.924.531.135—30.624.319.825.1—25.618.4—25.6—
Qiu et al.Input Type=Multi-view, Extrinsic Camera Parameters=Given, Extra Training Data=true2021.052426.723.224.324.824.128.632.126.9—22.825.62825—26.224.4—31—
Ma et al.Input Type=Multi-view, Extrinsic Camera Parameters=Given, Exploit Temporal Information=true2021.0524.426.423.424.125.224.733.829.826.4—23.224.226.123.2—25.823.3—26.8—
MixSTET (number of input frames)=81, Temporal information usage=true, Transformer-based architecture=true, Input=2D Ground Truth Keypoints2022.0325.627.824.525.724.928.627.429.92926.129.92518.725.2—25.919.9———
Pipeline4Bounding box source=Proposed detection and tracking algorithm2026.0125.6133.4435.5131.4763.7325.4429.68137.46111.7746.2828.6226.727.7230.67—45.3626.24———
He et al.Input Type=Multi-view, Extrinsic Camera Parameters=Given2021.0525.727.723.724.826.924.926.528.831.7—31.426.428.323.6—26.923.5—28.2—
GLA-GCNinput_source=GT, temporal_information=true, T=2432023.0726.527.229.225.428.229.526.937.839.9—31.72720.527.3—28.520.8—29.9—
Li et al.input_source=GT, temporal_information=true, intermediate_3D_reconstruction=true2023.0727.129.426.527.128.630.726.838.234.7—3329.819.126.8—28.519.8—29.1—
Iskakov et al.Input Type=Multi-view, Extrinsic Camera Parameters=Not Given, Non-ep-free algorithm=true, Parameter perturbation=3%2021.0527.630.32929.426.927.434.839.154—36.530.726.236.2—33.128.4—34.4—
Li et al.input_source=GT, temporal_information=true2023.0727.732.129.128.9303331.23739.3—33.93122.229.4—30.523—30—
Li et al.Input Source=GT, Video-based=true2023.0927.732.129.128.9303331.23739.3—33.93122.229.4—30.523—30—
Shan et al.input_source=GT, temporal_information=true2023.0728.530.128.627.929.831.327.83637.4—33.229.52128.1—29.321—29.7—
GraphMDN (Oracle, Wide)Input=Ground-Truth 2D, Network=Wide, Selection=Oracle2020.1028.934.528.230.231.532.328.635.743.331.938.532.125.233.3—31.827.8———
PoseFormer (Zheng et al.)T (number of input frames)=81, Temporal information usage=true, Transformer-based architecture=true, Input=2D Ground Truth Keypoints2022.033033.629.93130.234.831.437.838.631.733.331.523.329—31.323.1———
Zheng et al.input_source=GT, temporal_information=true2023.073033.629.93130.234.831.437.838.6—33.331.523.329—31.323.1—31.7—
Zheng et al.Input Source=GT, Video-based=true2023.093033.629.93130.234.831.437.838.6—33.331.523.329—31.323.1—31.7—
PoseFormerInput=Ground truth 2D pose, f=812021.033033.629.9—30.234.831.437.838.6—33.331.523.329—31.323.1—31.731
Iskakov et al.Input Type=Multi-view, Extrinsic Camera Parameters=Not Given, Non-ep-free algorithm=true, Parameter perturbation=4%2021.0530.237.232.733.233.829.74349.467.6—43.733.127.242.1—38.429.3—38—
DC-GCTInput Source=Ground Truth 2D, Evaluation Protocol=Protocol #12023.0830.735.626.83232.6363035.136.5—36.733.626.533.9—32.427.5—32.2—
Ours (PoseNet)groundtruth info in inference time=true2019.073130.639.935.534.830.232.13543.835.737.630.124.635.729.334————
MöbiusGCN#Param.=0.16M, 2D Input=GT2022.0331.246.932.531.741.433.930.949.255.735.944.936.129.737.5—36.233.1———
Zeng et al.Input Source=GT, Video-based=true2023.0931.234.832.128.530.736.935.646.840.1—31.43122.529.9—3224.5—32.5—
FLEXInput Type=Multi-view, Extrinsic Camera Parameters=Not Given, Exploit Temporal Information=true2021.053223.624.326.730.425.132.929.532.5—35.726.52634.7—30.227.7—32.6—
Zhao et al.Input Source=Ground Truth 2D, Evaluation Protocol=Protocol #1, Venue/Year=CVPR 20222023.08323830.434.434.735.231.43846.2—43.335.727.436.1—35.230.6—34.2—
Lee et al.input_source=GT, temporal_information=true2023.0732.136.634.337.844.540.936.244.145.6—49.935.937.630.3—38.435.5—35.3—
GraphMDN (Mean)Input=Ground-Truth 2D, Network=Standard, Selection=Mean2020.1032.239.533.536.738.23936.74452.937.248.540.33039.4—38.732.1———
Zhang et al.Input Source=Ground Truth 2D, Evaluation Protocol=Protocol #1, Venue/Year=IJCV'20232023.0832.436.530.133.336.336.130.537.545.3—43.535.127.535.3—34.930.2—33.8—
Ours (Full)groundtruth info in inference time=false2019.0732.531.541.536.736.331.933.236.544.436.738.731.225.637.130.535.2————
Li et al.Input Source=Ground Truth 2D, Evaluation Protocol=Protocol #1, Venue/Year=AAAI'20232023.0832.938.328.333.834.937.230.734.539.7—38.734.726.134.3—33.828.9—33.9—
Cai et al.Input Source=Ground Truth 2D, Evaluation Protocol=Protocol #1, Venue/Year=ICCV'20192023.0833.43933.83738.139.537.343.246.2—47.33830.438.6—38.132.1—37.7—
MöbiusGCN#Param.=0.04M, 2D Input=GT2022.0333.648.534.934.84636.733.750.662.738.949.540.333.141.4—4036.3———
GraphMDN (Mean, Wide)Input=Ground-Truth 2D, Network=Wide, Selection=Mean2020.1033.939.93335.436.838.933415036.444.438.328.237.8—37.231.5———
ZhouMulti-Hypothesis=false, Weakly Supervised=false2020.0834.442.436.642.138.234.740.245.660.83939.842.629.842—39.931.7———
SemGCN (Wide)Input=Ground-Truth 2D, Network=Wide2020.1034.441.632.937.539.24134.143.652.337.647.540.730.538.6—3932.9———
GraphMDN (Highest, Wide)Input=Ground-Truth 2D, Network=Wide, Selection=Highest2020.1034.540.53335.73739.13341.250.236.644.838.628.438.2—37.531.8———
Liu et al.T (number of input frames)=243, Temporal information usage=true, Input=2D Ground Truth Keypoints2022.0334.537.133.634.232.939.635.840.741.43337.133.826.633—34.726.9———
Liu et al.input_source=GT, temporal_information=true2023.0734.537.133.634.232.939.635.840.741.4—37.133.826.633—34.726.9—33—
Liu et al.Input=Ground truth 2D pose, f=2432021.0334.537.133.6—32.939.635.840.741.4—37.133.826.633—34.726.9—3334.2
SemGCNInput=Ground-Truth 2D, Network=Standard2020.1034.741.935.338.74141.137.344.653.940.353.541.933.341.5—4136———
SRNetInput=Ground truth 2D pose2021.0334.832.128.5—31.435.630.538.940.5—36.93122.529.9—3224.5—32.530.7
Pavllo et al.Input Source=GT, Video-based=true2023.0935.240.232.735.738.240.636.148.847.3—45.539.727.838.7—37.829.5—37.8—
Hossain et al.Input=Ground truth 2D pose2021.0335.240.837.2—43.238.935.642.344.6—4439.732.840.2—39.235.5—39.737.4
Hu et al.Input Type=Monocular, Exploit Temporal Information=true2021.0535.541.336.639.139.239.93751.963.3—4941.429.840.3—41.128.9—40.9—
GraphSH#Param.=3.7M, 2D Input=GT2022.0335.838.13135.343.231.738.445.535.436.737.336.830.727.9—35.8————
Xu et al.Input Source=Ground Truth 2D, Evaluation Protocol=Protocol #1, Venue/Year=CVPR 20212023.0835.838.13135.335.837.331.738.445.5—43.236.727.936.8—35.830.7—35.4—
Xu and Takanoinput_source=GT, temporal_information=false2023.0735.838.13135.335.837.331.738.445.5—43.236.727.936.8—35.830.7—35.4—
Zeng et al.Input Source=Ground Truth 2D, Evaluation Protocol=Protocol #1, Venue/Year=ECCV'20202023.0835.936.729.334.53637.731.740.144.3—42.837.233.736.2—36.434—35.8—
Cheng et al.Input Type=Monocular, Exploit Temporal Information=true2021.0536.238.142.735.938.236.84245.951.3—45.741.533.143.8—40.128.6—41.8—
RTPCAInput Source=CPN, Video-based=true2023.0936.238.936.737.341.736.639.551.357.2—48.339.527.340.6—40.127.3—41.4—
Ci et al.input_source=GT, temporal_information=false2023.0736.338.829.737.834.639.832.536.239.5—42.538.431.338.2—36.334.2—34.4—
IVTf=5, transformer-based=true2022.0836.540.138.440.742.630.143.446.15840.242.837.132.140.8——33.540.2——
Liu et al.#Param.=4.2M, 2D Input=GT2022.0336.840.33336.34534.940.347.737.438.539.738.63229.6—37.5————
Liu et al.Input Source=Ground Truth 2D, Evaluation Protocol=Protocol #1, Venue/Year=ECCV'20202023.0836.840.33336.337.539.734.940.347.7—4538.529.638.6—37.832—37.4—
Sun [44]groundtruth info in inference time=true2019.0736.936.240.640.441.934.935.750.159.440.444.93930.839.836.740.6————
Xu et al.input_source=CPN, temporal_information=true2023.0737.443.542.742.746.641.345.152.760.2—59.743.133.747.7—45.637.1—45.8—
Xu et al. (2020)Input Source=CPN, Video-based=true2023.0937.443.542.742.746.641.345.152.760.2—59.743.133.747.7—45.637.1—45.8—
Zhang et al.Input Source=CPN, Video-based=true2023.0937.640.937.339.742.340.139.851.755—49.939.827.941—40.927.9—42.1—
Martinez et al.Input Source=Ground Truth 2D, Evaluation Protocol=Protocol #1, Venue/Year=ICCV'20172023.0837.744.440.342.148.244.442.154.658—54.946.436.447.6—45.540.4—45.1—
Martinez et al.input_source=GT, temporal_information=false2023.0737.744.440.342.148.244.442.154.658—54.946.436.447.6—45.540.4—45.1—
SemGCN (GT)Input Source=2D Ground Truth (GT), Configuration=#12019.0437.849.437.640.945.140.148.350.142.253.541.444.347.340.5—43.839———
SemGCN (reported)Input=Ground-Truth 2D, Network=Standard2020.1037.849.437.640.945.140.148.350.142.253.541.444.347.340.5—43.839———
SemGCN#Param.=0.43M, 2D Input=GT2022.0337.849.437.640.941.448.350.142.253.544.340.140.53947.3—43.8————
Zhao et al.input_source=GT, temporal_information=false2023.0737.849.437.640.945.140.148.350.142.2—41.444.347.340.5—43.839—53.5—
Hu et al.Input Source=CPN, Video-based=true2023.093843.339.139.445.841.441.455.561.9—53.641.931.644.5—43.429.4—44.6—
Fanggroundtruth info in inference time=true2019.0738.241.743.744.948.540.238.254.564.447.255.344.336.747.341.745.7————
Reddy et al.Input Type=Monocular, Exploit Temporal Information=true2021.0538.446.844.343.244.852.936.745.354.5—48.344.446.241.9—44.639.9—63.4—
Zhou et al.input_source=CPN, temporal_information=true2023.0738.545.840.354.939.539.243.149.271.1—45.953.633.244.5—45.134.1—41—
Shan et al.input_source=CPN, temporal_information=true2023.0738.942.740.441.145.640.939.955.559.4—49.742.229.442.7—42.829.4—44.9—
MHFormerBounding box source=Ground truth2026.0139.1743.0640.0740.9444.9540.6341.2953.5660.3743.7151.1642.1229.7643.84—42.9530.59———
Li et al.input_source=CPN, temporal_information=true2023.0739.243.140.140.944.940.641.353.560.3—51.241.129.843.8—4330.6—43.7—
Li et al.Input Source=CPN, Video-based=true2023.0939.243.140.140.944.940.641.353.560.3—51.241.129.843.8—4330.6—43.7—
Kadkhodamohammadi and PadoyInput Type=Multi-view, Extrinsic Camera Parameters=Given2021.0539.446.94142.753.641.45059.978.8—54.844.239.341.3—49.141—42.8—
Martinezgroundtruth info in inference time=true2019.0739.543.246.4475141.440.656.569.449.256453849.543.147.7————
LlopartInput Type=Monocular, Exploit Temporal Information=true2021.0539.541.745.6424342.541.755.262.3—53.942.931.845.3—44.831.8—44.9—
Li et al.Input Type=Monocular, Exploit Temporal Information=true2021.0539.943.44040.942.442.139.855.861.6—50.643.329.944.9—43.630.3—44.9—
LeeTemporal models=true, Ground-truth bounding box=true2019.1040.249.247.852.650.150.24355.873.954.17555.643.358.2—52.843.3———
Lee et al.input_source=CPN, temporal_information=true2023.0740.249.247.852.650.150.24355.873.9—7555.643.358.2—52.843.3—54.1—
PoseFormerV2Bounding box source=Ground truth2026.0141.2645.4541.4744.0446.6742.6342.6455.1964.6245.7153.7542.8932.3445.76—45.1532.89———
Wang et al.f=96, transformer-based=false2022.0841.343.94442.24842.243.257.361.34757.143.532.647——31.845.6——
GLA-GCNinput_source=CPN, temporal_information=true, T=2432023.0741.344.340.841.845.942.141.557.862.9—54.142.829.445.9—44.429.9—45—
Wang et al.Input Source=CPN, Video-based=true2023.0941.343.94442.24842.243.257.361.3—57.143.532.647—45.631.8—47—
Anatomy3DBounding box source=Ground truth2026.0141.4943.839.7743.1246.1842.1641.8554.1560.745.4952.5441.5631.4146.04—44.1832.45———
Zheng et al.f=81, transformer-based=true2022.0841.544.839.842.546.542.14253.360.745.551.643.331.846.1——32.244.3——
Zheng et al.Input Source=CPN, Video-based=true2023.0941.544.839.842.546.542.14253.360.7—51.643.331.846.1—44.332.2—45.5—
Liu et al.f=243, transformer-based=false, backbone=CVPR 202022.0841.844.841.144.947.443.442.256.263.645.354.143.531.345.3——32.245.1——
Liu et al.input_source=CPN, temporal_information=true2023.0741.844.841.144.947.443.442.256.263.6—54.143.531.345.3—45.132.2—45.3—
Liu et al.Input Source=CPN, Video-based=true2023.0941.844.841.144.947.443.442.256.263.6—54.143.531.345.3—45.132.2—45.3—
Sun [43]groundtruth info in inference time=true2019.0742.144.34545.451.543.241.359.373.351534438.34844.848.3————
Chen et al.f=81, transformer-based=false2022.0842.143.84143.846.142.443.153.960.545.753.542.132.246.2——33.844.6——
Lin et al.f=50, transformer-based=false2022.0842.544.842.644.248.552.641.456.564.547.457.1433348.1——35.146.6——
Liu et al.f=243, transformer-based=true, backbone=ICRA 212022.0843.346.140.944.646.644.142.955.357.945.85443.430.447.3——30.344.9——
Tome et al.Input Type=Multi-view, Extrinsic Camera Parameters=Given, Extra Training Data=true2021.0543.349.64248.851.140.343.36695.2—64.352.248.351.1—52.846.3—50.2—