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 76100 of 665 papers

TitleStatusHype
AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent ConversationCode1
Cyclic Test-Time Adaptation on Monocular Video for 3D Human Mesh ReconstructionCode1
Double-chain Constraints for 3D Human Pose Estimation in Images and VideosCode1
Human-M3: A Multi-view Multi-modal Dataset for 3D Human Pose Estimation in Outdoor ScenesCode1
GLA-GCN: Global-local Adaptive Graph Convolutional Network for 3D Human Pose Estimation from Monocular VideoCode1
Back to Optimization: Diffusion-based Zero-Shot 3D Human Pose EstimationCode1
HuManiFlow: Ancestor-Conditioned Normalising Flows on SO(3) Manifolds for Human Pose and Shape Distribution EstimationCode1
Interweaved Graph and Attention Network for 3D Human Pose EstimationCode1
Sampling is Matter: Point-guided 3D Human Mesh ReconstructionCode1
Monocular 3D Human Pose Estimation for Sports Broadcasts using Partial Sports Field RegistrationCode1
SportsPose -- A Dynamic 3D sports pose datasetCode1
Global Adaptation meets Local Generalization: Unsupervised Domain Adaptation for 3D Human Pose EstimationCode1
Global-to-Local Modeling for Video-based 3D Human Pose and Shape EstimationCode1
Zolly: Zoom Focal Length Correctly for Perspective-Distorted Human Mesh ReconstructionCode1
A Hybrid ANN-SNN Architecture for Low-Power and Low-Latency Visual PerceptionCode1
POTTER: Pooling Attention Transformer for Efficient Human Mesh RecoveryCode1
Diffusion-Based 3D Human Pose Estimation with Multi-Hypothesis AggregationCode1
Highly Efficient 3D Human Pose Tracking from Events with Spiking Spatiotemporal TransformerCode1
SLOPER4D: A Scene-Aware Dataset for Global 4D Human Pose Estimation in Urban EnvironmentsCode1
GATOR: Graph-Aware Transformer with Motion-Disentangled Regression for Human Mesh Recovery from a 2D PoseCode1
Capturing the motion of every joint: 3D human pose and shape estimation with independent tokensCode1
HTNet: Human Topology Aware Network for 3D Human Pose EstimationCode1
3D Human Pose and Shape Estimation via HybrIK-TransformerCode1
HDFormer: High-order Directed Transformer for 3D Human Pose EstimationCode1
IKOL: Inverse kinematics optimization layer for 3D human pose and shape estimation via Gauss-Newton differentiationCode1
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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