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
Neural Localizer Fields for Continuous 3D Human Pose and Shape EstimationCode3
CameraHMR: Aligning People with PerspectiveCode3
GST: Precise 3D Human Body from a Single Image with Gaussian Splatting TransformersCode2
NIKI: Neural Inverse Kinematics with Invertible Neural Networks for 3D Human Pose and Shape EstimationCode2
Recovering 3D Human Mesh from Monocular Images: A SurveyCode2
HybrIK: A Hybrid Analytical-Neural Inverse Kinematics Solution for 3D Human Pose and Shape EstimationCode2
PyMAF-X: Towards Well-aligned Full-body Model Regression from Monocular ImagesCode2
Benchmarking and Analyzing 3D Human Pose and Shape Estimation Beyond AlgorithmsCode1
AnthroNet: Conditional Generation of Humans via AnthropometricsCode1
PyMAF: 3D Human Pose and Shape Regression with Pyramidal Mesh Alignment Feedback LoopCode1
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Benchmark Results

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