SOTAVerified

3D Human Pose Estimation

3D Human Pose Estimation is a computer vision task that involves estimating the 3D positions and orientations of body joints and bones from 2D images or videos. The goal is to reconstruct the 3D pose of a person in real-time, which can be used in a variety of applications, such as virtual reality, human-computer interaction, and motion analysis.

Papers

Showing 226250 of 665 papers

TitleStatusHype
FLEX: Extrinsic Parameters-free Multi-view 3D Human Motion ReconstructionCode1
LiDAR-HMR: 3D Human Mesh Recovery from LiDARCode1
FreeMan: Towards Benchmarking 3D Human Pose Estimation under Real-World ConditionsCode1
Multi-Garment Net: Learning to Dress 3D People from ImagesCode1
Probabilistic Modeling for Human Mesh RecoveryCode1
Fusing Monocular Images and Sparse IMU Signals for Real-time Human Motion CaptureCode1
Fusing Wearable IMUs with Multi-View Images for Human Pose Estimation: A Geometric ApproachCode1
A Dual-Source Approach for 3D Pose Estimation from a Single Image0
3D Human Pose Estimation via Explicit Compositional Depth Maps0
Graph and Skipped Transformer: Exploiting Spatial and Temporal Modeling Capacities for Efficient 3D Human Pose Estimation0
GloPro: Globally-Consistent Uncertainty-Aware 3D Human Pose Estimation & Tracking in the Wild0
A Dual-Source Approach for 3D Human Pose Estimation from a Single Image0
3D Human Pose Estimation using Spatio-Temporal Networks with Explicit Occlusion Training0
Geometry-Biased Transformer for Robust Multi-View 3D Human Pose Reconstruction0
Geometric Pose Affordance: 3D Human Pose with Scene Constraints0
GenHPE: Generative Counterfactuals for 3D Human Pose Estimation with Radio Frequency Signals0
GenHMR: Generative Human Mesh Recovery0
Intelligent Carpet: Inferring 3D Human Pose From Tactile Signals0
In the Wild Human Pose Estimation Using Explicit 2D Features and Intermediate 3D Representations0
Cascaded Pyramid Network for 3D Human Pose Estimation Challenge0
Generating Multiple Diverse Hypotheses for Human 3D Pose Consistent with 2D Joint Detections0
Pose Magic: Efficient and Temporally Consistent Human Pose Estimation with a Hybrid Mamba-GCN Network0
Adaptive Multi-view and Temporal Fusing Transformer for 3D Human Pose Estimation0
Inference Stage Optimization for Cross-scenario 3D Human Pose Estimation0
(Fusionformer):Exploiting the Joint Motion Synergy with Fusion Network Based On Transformer for 3D Human Pose Estimation0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Simple-baselinePA-MPJPE157Unverified
2HMRMPJPE130Unverified
3BMPMPVPE119.3Unverified
4SPINMPVPE116.4Unverified
5Wenshuo et a;.MPVPE112.6Unverified
6TCMR (T=16 w/o 3DPW)MPVPE111.5Unverified
7CHOMPMPVPE110.1Unverified
8PC-HMRMPVPE108.6Unverified
93DCrowdNetMPVPE108.5Unverified
10SMPLifyPA-MPJPE106.8Unverified
#ModelMetricClaimedVerifiedStatus
1VNect (Augm.)MPJPE124.7Unverified
2HMRMPJPE124.2Unverified
3Single-Shot Multi-PersonMPJPE122.2Unverified
4MehtaMPJPE117.6Unverified
5PONetMPJPE115Unverified
6Pose Consensus (monocular)MPJPE112.1Unverified
7GeoRep (fully-supervised)MPJPE110.8Unverified
8XFormer (HRNet)MPJPE109.8Unverified
9EpipolarPose (fully-supervised)MPJPE108.99Unverified
10SPINMPJPE105.2Unverified