SOTAVerified

3D human pose and shape estimation

Estimate 3D human pose and shape (e.g. SMPL) from images

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–10 of 50 papers

TitleStatusHype
Semantics-aware Test-time Adaptation for 3D Human Pose Estimation—0
Utilizing Uncertainty in 2D Pose Detectors for Probabilistic 3D Human Mesh RecoveryCode0
CameraHMR: Aligning People with PerspectiveCode3
D-PoSE: Depth as an Intermediate Representation for 3D Human Pose and Shape EstimationCode1
GST: Precise 3D Human Body from a Single Image with Gaussian Splatting TransformersCode2
Neural Localizer Fields for Continuous 3D Human Pose and Shape EstimationCode3
Personalized 3D Human Pose and Shape Refinement—0
3D Human Reconstruction in the Wild with Synthetic Data Using Generative Models—0
BinaryHPE: 3D Human Pose and Shape Estimation via BinarizationCode1
BundleMoCap: Efficient, Robust and Smooth Motion Capture from Sparse Multiview Videos—0
Show:102550
← PrevPage 1 of 5Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SemanticsTTA (HMR2.0)Average MPJPE (mm)104.6—Unverified
2MEEVAverage MPJPE (mm)82.3—Unverified