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3D Human Pose and Shape Estimation on 3DPW 14 joints (test)

35.9PA-MPJPEWHAM (ViT)
34.96841.25947.5553.841Dec 12, 2023

Evaluation results

MethodLinks
WHAM (ViT)Backbone=ViT, Estimation type=temporal, Trained on 3DPW=true2023.1235.957.868.76.6
WHAM (HR)Backbone=HRNet, Estimation type=temporal, Trained on 3DPW=true2023.123962.674.86.4
WHAM (Res)Backbone=ResNet, Estimation type=temporal, Trained on 3DPW=true2023.1240.262.775.16.3
ReFitEstimation type=per-frame, Trained on 3DPW=true2023.1240.565.375.118.5
HybrIKEstimation type=per-frame, Trained on 3DPW=true2023.1241.871.682.3—
CLIFFEstimation type=per-frame, Trained on 3DPW=true2023.12436981.222.5
HMR2.0Estimation type=per-frame2023.1244.469.882.218.1
PAREEstimation type=per-frame, Trained on 3DPW=true2023.1246.574.588.6—
GLoTEstimation type=temporal, Trained on 3DPW=true2023.1250.680.796.46
TRACEEstimation type=temporal, Trained on 3DPW=true2023.1250.979.195.428.6
GLAMREstimation type=temporal2023.1251.1——8
VIBEEstimation type=temporal, Trained on 3DPW=true2023.1251.982.998.418.5
MPS-NetEstimation type=temporal, Trained on 3DPW=true2023.1252.184.3996.5
TCMREstimation type=temporal, Trained on 3DPW=true2023.1252.786.5101.46
SLAHMREstimation type=temporal2023.1255.9———
SPINEstimation type=per-frame2023.1259.296.9112.831.4