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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 401–450 of 665 papers

TitleStatusHype
Probabilistic 3D Human Shape and Pose Estimation from Multiple Unconstrained Images in the Wild—0
3D Human Pose Estimation with Spatial and Temporal TransformersCode1
PC-HMR: Pose Calibration for 3D Human Mesh Recovery from 2D Images/Videos—0
Enhanced 3D Human Pose Estimation from Videos by using Attention-Based Neural Network with Dilated Convolutions—0
On the role of depth predictions for 3D human pose estimation—0
PandaNet : Anchor-Based Single-Shot Multi-Person 3D Pose Estimation—0
Towards Alleviating the Modeling Ambiguity of Unsupervised Monocular 3D Human Pose Estimation—0
EM-POSE: 3D Human Pose Estimation From Sparse Electromagnetic TrackersCode1
Modulated Graph Convolutional Network for 3D Human Pose EstimationCode1
Deep Learning-Based Human Pose Estimation: A SurveyCode1
Graph and Temporal Convolutional Networks for 3D Multi-person Pose Estimation in Monocular VideosCode1
Invariant Teacher and Equivariant Student for Unsupervised 3D Human Pose EstimationCode1
End-to-End Human Pose and Mesh Reconstruction with TransformersCode1
Towards Locality Similarity Preserving to 3D Human Pose Estimation—0
SMPLy Benchmarking 3D Human Pose Estimation in the Wild—0
Temporal Representation Learning on Monocular Videos for 3D Human Pose Estimation—0
CanonPose: Self-Supervised Monocular 3D Human Pose Estimation in the WildCode1
HybrIK: A Hybrid Analytical-Neural Inverse Kinematics Solution for 3D Human Pose and Shape EstimationCode2
Accurate 3D Hand Pose Estimation for Whole-Body 3D Human Mesh EstimationCode1
Beyond Static Features for Temporally Consistent 3D Human Pose and Shape from a VideoCode1
Residual Pose: A Decoupled Approach for Depth-based 3D Human Pose EstimationCode1
Leveraging Temporal Joint Depths for Improving 3D Human Pose Estimation in Video—0
Exploring Severe Occlusion: Multi-Person 3D Pose Estimation with Gated Convolution—0
Temporal Smoothing for 3D Human Pose Estimation and Localization for Occluded PeopleCode1
AdaFuse: Adaptive Multiview Fusion for Accurate Human Pose Estimation in the WildCode1
Error Bounds of Projection Models in Weakly Supervised 3D Human Pose Estimation—0
HPERL: 3D Human Pose Estimation from RGB and LiDARCode0
Multi-Scale Networks for 3D Human Pose Estimation with Inference Stage Optimization—0
A review of 3D human pose estimation algorithms for markerless motion capture—0
Self-Supervised Multi-View Synchronization Learning for 3D Pose Estimation—0
Synthetic Training for Accurate 3D Human Pose and Shape Estimation in the WildCode1
Beyond Weak Perspective for Monocular 3D Human Pose Estimation—0
SSP-Net: Scalable Sequential Pyramid Networks for Real-Time 3D Human Pose Regression—0
LiftFormer: 3D Human Pose Estimation using attention models—0
Monocular, One-stage, Regression of Multiple 3D PeopleCode2
SMAP: Single-Shot Multi-Person Absolute 3D Pose EstimationCode1
Pose2Mesh: Graph Convolutional Network for 3D Human Pose and Mesh Recovery from a 2D Human PoseCode1
Monocular Expressive Body Regression through Body-Driven AttentionCode1
Human Body Model Fitting by Learned Gradient Descent—0
Neural Descent for Visual 3D Human Pose and Shape—0
Weakly Supervised Generative Network for Multiple 3D Human Pose HypothesesCode1
3D Human Motion Estimation via Motion Compression and RefinementCode1
I2L-MeshNet: Image-to-Lixel Prediction Network for Accurate 3D Human Pose and Mesh Estimation from a Single RGB ImageCode1
Unsupervised Cross-Modal Alignment for Multi-Person 3D Pose EstimationCode0
End-to-end Dynamic Matching Network for Multi-view Multi-person 3d Pose Estimation—0
A Comprehensive Study of Weight Sharing in Graph Networks for 3D Human Pose EstimationCode0
Towards Part-aware Monocular 3D Human Pose Estimation: An Architecture Search Approach—0
HMOR: Hierarchical Multi-Person Ordinal Relations for Monocular Multi-Person 3D Pose Estimation—0
Perceiving 3D Human-Object Spatial Arrangements from a Single Image in the WildCode1
3D Human Shape and Pose from a Single Low-Resolution Image with Self-Supervised LearningCode1
Show:102550
← PrevPage 9 of 14Next →
All datasets3DPWMPI-INF-3DHPHuman3.6MHumanEva-IH3WBTotal CaptureEMDBAGORAPanopticSurreal3D Poses in the Wild ChallengeAIST++

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