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 126–150 of 665 papers

TitleStatusHype
BundleMoCap: Efficient, Robust and Smooth Motion Capture from Sparse Multiview Videos—0
Two Views Are Better than One: Monocular 3D Pose Estimation with Multiview Consistency—0
LiDAR-HMR: 3D Human Mesh Recovery from LiDARCode1
Hourglass Tokenizer for Efficient Transformer-Based 3D Human Pose EstimationCode2
Multiple View Geometry Transformers for 3D Human Pose EstimationCode1
Efficient Domain Adaptation via Generative Prior for 3D Infant Pose EstimationCode1
Temporal-Aware Refinement for Video-based Human Pose and Shape Recovery—0
MotionAGFormer: Enhancing 3D Human Pose Estimation with a Transformer-GCNFormer NetworkCode2
3DHR-Co: A Collaborative Test-time Refinement Framework for In-the-Wild 3D Human-Body Reconstruction Task—0
SMPLer-X: Scaling Up Expressive Human Pose and Shape EstimationCode3
Unsupervised Multi-Person 3D Human Pose Estimation From 2D Poses Alone—0
Understanding Pose and Appearance Disentanglement in 3D Human Pose Estimation—0
GloPro: Globally-Consistent Uncertainty-Aware 3D Human Pose Estimation & Tracking in the Wild—0
TEMPO: Efficient Multi-View Pose Estimation, Tracking, and Forecasting—0
LInKs "Lifting Independent Keypoints" -- Partial Pose Lifting for Occlusion Handling with Improved Accuracy in 2D-3D Human Pose Estimation—0
FreeMan: Towards Benchmarking 3D Human Pose Estimation under Real-World ConditionsCode1
Mirror-Aware Neural HumansCode0
Probabilistic Triangulation for Uncalibrated Multi-View 3D Human Pose EstimationCode1
Refined Temporal Pyramidal Compression-and-Amplification Transformer for 3D Human Pose EstimationCode0
DiffHPE: Robust, Coherent 3D Human Pose Lifting with Diffusion—0
Fusing Monocular Images and Sparse IMU Signals for Real-time Human Motion CaptureCode1
Spatio-temporal MLP-graph network for 3D human pose estimationCode1
PoseGraphNet++: Enriching 3D Human Pose with Orientation Estimation—0
Co-Evolution of Pose and Mesh for 3D Human Body Estimation from VideoCode1
3D-Aware Neural Body Fitting for Occlusion Robust 3D Human Pose EstimationCode1
Show:102550
← PrevPage 6 of 27Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Simple-baselinePA-MPJPE157—Unverified
2HMRMPJPE130—Unverified
3BMPMPVPE119.3—Unverified
4SPINMPVPE116.4—Unverified
5Wenshuo et a;.MPVPE112.6—Unverified
6TCMR (T=16 w/o 3DPW)MPVPE111.5—Unverified
7CHOMPMPVPE110.1—Unverified
8PC-HMRMPVPE108.6—Unverified
93DCrowdNetMPVPE108.5—Unverified
10SMPLifyPA-MPJPE106.8—Unverified
#ModelMetricClaimedVerifiedStatus
1VNect (Augm.)MPJPE124.7—Unverified
2HMRMPJPE124.2—Unverified
3Single-Shot Multi-PersonMPJPE122.2—Unverified
4MehtaMPJPE117.6—Unverified
5PONetMPJPE115—Unverified
6Pose Consensus (monocular)MPJPE112.1—Unverified
7GeoRep (fully-supervised)MPJPE110.8—Unverified
8XFormer (HRNet)MPJPE109.8—Unverified
9EpipolarPose (fully-supervised)MPJPE108.99—Unverified
10SPINMPJPE105.2—Unverified