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
Cascaded deep monocular 3D human pose estimation with evolutionary training dataCode1
AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent ConversationCode1
Capturing the motion of every joint: 3D human pose and shape estimation with independent tokensCode1
EM-POSE: 3D Human Pose Estimation From Sparse Electromagnetic TrackersCode1
Attention Mechanism Exploits Temporal Contexts: Real-Time 3D Human Pose ReconstructionCode1
Dynamic Multiscale Graph Neural Networks for 3D Skeleton-Based Human Motion PredictionCode1
Efficient Domain Adaptation via Generative Prior for 3D Infant Pose EstimationCode1
EgoPoseFormer: A Simple Baseline for Stereo Egocentric 3D Human Pose EstimationCode1
A simple yet effective baseline for 3d human pose estimationCode1
Learning to Estimate Robust 3D Human Mesh from In-the-Wild Crowded ScenesCode1
Efficient Human Pose Estimation via 3D Event Point CloudCode1
ARTS: Semi-Analytical Regressor using Disentangled Skeletal Representations for Human Mesh Recovery from VideosCode1
PoseBench3D: A Cross-Dataset Analysis Framework for 3D Human Pose EstimationCode1
Back to Optimization: Diffusion-based Zero-Shot 3D Human Pose EstimationCode1
3D Human Shape and Pose from a Single Low-Resolution Image with Self-Supervised LearningCode1
3D-LFM: Lifting Foundation ModelCode1
Encoder-decoder with Multi-level Attention for 3D Human Shape and Pose EstimationCode1
Beyond Static Features for Temporally Consistent 3D Human Pose and Shape from a VideoCode1
End-to-End Human Pose and Mesh Reconstruction with TransformersCode1
3D Human Pose Estimation With Spatio-Temporal Criss-Cross AttentionCode1
CanonPose: Self-Supervised Monocular 3D Human Pose Estimation in the WildCode1
Compressed Volumetric Heatmaps for Multi-Person 3D Pose EstimationCode1
BLAPose: Enhancing 3D Human Pose Estimation with Bone Length AdjustmentCode1
Dynamic Multi-Person Mesh Recovery From Uncalibrated Multi-View CamerasCode1
ElePose: Unsupervised 3D Human Pose Estimation by Predicting Camera Elevation and Learning Normalizing Flows on 2D PosesCode1
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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