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3D Human Mesh Recovery on 3DPW (test)

27.67PA-MPJPECLIFFb + KITRO
26.996831.540936.08540.6291Nov 24, 2021Aug 27, 2022May 31, 2023Mar 3, 2024Dec 5, 2024Sep 8, 2025Jun 12, 2026

Evaluation results

MethodLinks
CLIFFb + KITRO2024.0527.6743.53—53.44—————————————
Group Preference Alignment FrameworkCategory=Probabilistic, M=2002026.0230.251—59—————————————
Group Preference Alignment FrameworkCategory=Probabilistic, M=200, InstaVariety Training=true2026.0230.548.5—57.7—————————————
Group Preference Alignment FrameworkCategory=Probabilistic, M=1002026.0231.552.5—60.9—————————————
Group Preference Alignment FrameworkCategory=Probabilistic, M=100, InstaVariety Training=true2026.0231.949.9—59.5—————————————
CLIFFb + CLIFFrreproduced=true2024.0532.0455.83—71.95—————————————
GenHMRMethod Category=Probabilistic, Venue=Ours2024.1232.654.7——————————67.5————
CLIFFb + CLIFFrextra gender info protocol=true2024.0532.852.8—61.5—————————————
ADHMRCategory=Probabilistic, M=1002026.0233.557.2—65.4—————————————
Discriminative-Generative Synergy Framework2026.0433.853.7—————————62.7—————
GTRSInput modality=Pose, 2D pose detector=GT 2D2021.1134.553.8—61.6—————————————
Pose2MeshInput modality=Pose, 2D pose detector=GT 2D2021.1134.665.1———————————————
Pose2Mesh2024.0534.665.1———————————————
VMarker-Pro2026.043556.2—————————64.7—————
CameraHMRCategory=Deterministic2026.0235.156—65.9—————————————
PHMRProcessing Category=Video-Offline2026.0335.556.9—67.3—————————————
TRAMProcessing Category=Video-Offline2026.0335.663.9—69.64.9————————————
WHAM (ViT)Category=Regression, AMASS only=false, 3DPW in training=true2025.0835.9————————————————
BaselineInput modality=Pose, 2D pose detector=GT 2D2021.1136.170.3———————————————
ScoreHypoModel Category=Image-based, Trained on 3DPW=true2026.0536.161.8————————71.9——————
CLIFFb + SMPLifyreproduced=true2024.0536.1166.67—79.91—————————————
Group Preference Alignment FrameworkCategory=Probabilistic, M=102026.0236.359.3—69—————————————
Group Preference Alignment FrameworkCategory=Probabilistic, M=10, InstaVariety Training=true2026.0236.456.6—67.2—————————————
PromptHMRCategory=Deterministic2026.0236.658.7—69.4—————————————
PromptHMR2026.0436.658.7—————————69.4—————
PromptHMRCategory=Regression, AMASS only=false, 3DPW in training=true2025.0836.6————————————————
GVHMRProcessing Category=Video-Offline2026.033756.6—68.7—————————————
MoPOModel Category=Occlusion video, Trained on 3DPW=false2026.0537.160.6————————71.2——————
MoPOtrained_on_3DPW_train_set=false2026.0537.160.6————————71.2——————
Meta-Learned Adaptive Optimization (CLIFF)Type=Meta-Opt, Backbone=HRNet-W482026.0337.258.7—74.8—————————————
MUGground truth 2D pose=true2022.0537.460.9————————70.1——————
WHAMProcessing Category=Video-Offline2026.0337.559.8—71.56.6————————————
ScoreHypoCategory=Probabilistic, M=1002026.0237.663—73.4—————————————
WHAMModel Category=Video-based, Trained on 3DPW=false2026.0537.860.8————————72.5——————
ADHMRCategory=Probabilistic, M=102026.0238.364.2—73.8—————————————
MetaHMRType=Meta, Backbone=HRNet-W482026.0339.562.4—78.1—————————————
PostureHMRModel Category=Image-based, Trained on 3DPW=false2026.0539.664.9————————75.4——————
PostoMETROBackbone=HRNet-W48, Fine-tuning on 3DPW train-split=true2024.0339.867.7————————76.8——————
PostoMETROBackbone=HRNet-W48, Training time=~390 GPU hrs, Inference time=11.5FPS2024.0339.867.7————————76.8——————
Zollyw/ 3DPW=Yes2023.1139.865—76.3—————————————
ZollyCategory=Deterministic2026.0239.865—76.3—————————————
CycleAdapt2D pose estimator=GT2023.0839.964.7————————76.7——————
HuManiFlowCategory=Probabilistic, M=1002026.0239.965.1———————————————
Multi-HMR 2.aCamera=GT2026.0640.267.7—79.9———————————149.8—
DynaBOA2D pose estimator=GT2023.0840.465.5————————82——————
DynaBOA2024.0540.465.5—82—————————————
MEGAQ=25, Backbone=HRNet2024.0540.463.6—75.1—————————9———
MEGACategory=Probabilistic, M=252026.0240.463.6—75.1—————————————
W-HMR†w/ 3DPW=Yes2023.1140.564.6—75.7—————————————
ReFitProcessing Category=Per-Frame2026.0340.565.3—75.118.5————————————
Multi-HMR 2.aCamera=Predicted2026.0640.568.2—80.1———————————170.1—
NIKIBackbone=HRNet-W48, Fine-tuning on 3DPW train-split=true2024.0340.671.3————————81.6——————
NIKI2024.0440.671.3———————————————
ProPoseType=Reg, Backbone=HRNet-W482026.0340.668.3—79.4—————————————
PostoMETROBackbone=ResNet-50, Fine-tuning on 3DPW train-split=true2024.0340.868.4————————78——————
PostoMETROBackbone=ResNet-50, Training time=~340 GPU hrs, Inference time=18.7FPS2024.0340.868.4————————78——————
ScoreHypoCategory=Probabilistic, M=102026.024168.5—79.8—————————————
ReFitType=Test-Opt, Backbone=HRNet-W482026.034165.8———————————————
MEGAtrained_on_3DPW_train_set=false2026.054167.5————————80——————
VirtualMarkerBackbone=HRNet-W48, Fine-tuning on 3DPW train-split=true2024.0341.367.5————————77.9——————
PostoMETRO (w/o pose tokens)Backbone=HRNet-W48, Fine-tuning on 3DPW train-split=true, Pose Tokens=false2024.0341.568.9————————78.6——————
W-HMR-P†w/ 3DPW=Yes2023.1141.667.3—79.9—————————————
Multi-HMR 2.bCamera=GT2026.0641.664.5—77.7———————————145.6—
MEGAQ=10, Backbone=HRNet2024.0541.764.9—76.9—————————————
Multi-HMR2026.0441.761.4—————————75.9—————
BoPRBackbone=HR-W322023.0341.868.8—81.7—————————————
HyBrIK2024.0441.871.6———————————————
HybrIKMethod Architecture Category=SMPL (Body-only)2023.0941.871.6———————————————
HybrIKProcessing Category=Per-Frame2026.0341.868—82.3—————————————
Multi-HMR 2.bCamera=Predicted2026.0641.865.2—78.1———————————161.9—
INT-2Backbone=ResNet-50, Fine-tuning on 3DPW train-split=true2024.034275.6————————87.9——————
BoPRBackbone=HR-W482023.0342.565.4—80.8—————————————
ScoreHypoQ=25, Backbone=ResNet-502024.0542.567.8———————————————
MEGAQ=5, Backbone=HRNet2024.0542.666.1—78.4—————————————
MPTBackbone=HigherHRNet, Fine-tuning on 3DPW train-split=true2024.0342.865.9————————79.4——————
DPMesh-ftfine-tuned=3DPW training set2024.0442.868.4———————————————
DPMeshTraining=fine-tuned with 3DPW training set2024.0442.868.4———————————————
PLIKSType=Hybrid, Backbone=HRNet-W482026.0342.866.9—82.6—————————————
CLIFFBackbone=HR-W482023.034369—81.2—————————————
CLIFFBackbone=HRNet-W48, Fine-tuning on 3DPW train-split=true2024.034369————————81.2——————
CLIFFbextra gender info protocol=true2024.054369—81.2—————————————
CLIFFMethod Architecture Category=SMPL (Body-only)2023.094368———————————————
CLIFFType=Reg, Backbone=HRNet-W482026.034369—81.2—————————————
W-HMR*w/ 3DPW=Yes2023.1143.268.5—81.6—————————————
PSVTBackbone=HRNet-W32, Fine-tuning on 3DPW train-split=true2024.0343.573.1————————84——————
OnlineHMRProcessing Category=Video-Online2026.0343.769.9—83.76.4————————————
CLIFFbreproduced=true2024.0543.7673.67—91.58—————————————
VisDB2023.0344.172.1—83.5—————————————
VisDBBackbone=ResNet-50, Fine-tuning on 3DPW train-split=true2024.0344.172.1————————83.5——————
RemoCapOutput-type=vertices2024.0544.172.7————————81.9——————
MEGA detQ=1, Backbone=HRNet2024.0544.168.5—81.6—————————————
Human3RProcessing Category=Video-Online2026.0344.171.2—84.9—————————————
TokenHMRModel Category=Image-based, Trained on 3DPW=false2026.0544.371————————84.6——————
InstanceHMRtrained_on_3DPW_train_set=false2026.0544.373.2————————80.3——————
PostoMETRO (w/o pose tokens)Backbone=ResNet-50, Fine-tuning on 3DPW train-split=true, Pose Tokens=false2024.0344.472.4————————82.5——————
HMR2.0Processing Category=Per-Frame2026.0344.469.9—82.218.1————————————
HMDiffType=optimization method, Optimization steps=200+2024.0444.572.7———————————————
HMR2.0Method Category=Deterministic, Venue=ICCV 20232024.1244.570——————————84.1————
HMR 2.0Category=Deterministic2026.0244.570———————————————
HMDiffCategory=Probabilistic, M=252026.0244.572.7—82.4—————————————