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 126150 of 665 papers

TitleStatusHype
BundleMoCap: Efficient, Robust and Smooth Motion Capture from Sparse Multiview Videos0
Two Views Are Better than One: Monocular 3D Pose Estimation with Multiview Consistency0
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 Recovery0
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 Task0
SMPLer-X: Scaling Up Expressive Human Pose and Shape EstimationCode3
Unsupervised Multi-Person 3D Human Pose Estimation From 2D Poses Alone0
Understanding Pose and Appearance Disentanglement in 3D Human Pose Estimation0
GloPro: Globally-Consistent Uncertainty-Aware 3D Human Pose Estimation & Tracking in the Wild0
TEMPO: Efficient Multi-View Pose Estimation, Tracking, and Forecasting0
LInKs "Lifting Independent Keypoints" -- Partial Pose Lifting for Occlusion Handling with Improved Accuracy in 2D-3D Human Pose Estimation0
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 Diffusion0
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 Estimation0
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
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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