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

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Showing 351–400 of 665 papers

TitleStatusHype
Sequential 3D Human Pose Estimation Using Adaptive Point Cloud Sampling StrategyCode1
DECA: Deep viewpoint-Equivariant human pose estimation using Capsule AutoencodersCode1
Self-Supervised 3D Human Pose Estimation with Multiple-View GeometryCode0
Learning Skeletal Graph Neural Networks for Hard 3D Pose EstimationCode0
FrankMocap: A Monocular 3D Whole-Body Pose Estimation System via Regression and IntegrationCode2
MetaPose: Fast 3D Pose from Multiple Views without 3D SupervisionCode0
VoxelTrack: Multi-Person 3D Human Pose Estimation and Tracking in the Wild—0
LASOR: Learning Accurate 3D Human Pose and Shape Via Synthetic Occlusion-Aware Data and Neural Mesh RenderingCode1
Probabilistic Monocular 3D Human Pose Estimation with Normalizing FlowsCode1
Improving Robustness and Accuracy via Relative Information Encoding in 3D Human Pose EstimationCode1
Learning Local Recurrent Models for Human Mesh Recovery—0
Human Pose Regression with Residual Log-likelihood EstimationCode1
Conditional Directed Graph Convolution for 3D Human Pose EstimationCode1
Everybody Is Unique: Towards Unbiased Human Mesh Recovery—0
PoseRN: A 2D pose refinement network for bias-free multi-view 3D human pose estimation—0
Real-Time Multi-View 3D Human Pose Estimation using Semantic Feedback to Smart Edge SensorsCode1
Motion Projection Consistency Based 3D Human Pose Estimation with Virtual Bones from Monocular Videos—0
Part-Aware Measurement for Robust Multi-View Multi-Human 3D Pose Estimation and TrackingCode1
Intelligent Carpet: Inferring 3D Human Pose From Tactile Signals—0
THUNDR: Transformer-based 3D HUmaN Reconstruction with Markers—0
TesseTrack: End-to-End Learnable Multi-Person Articulated 3D Pose Tracking—0
SVMAC: Unsupervised 3D Human Pose Estimation from a Single Image with Single-view-multi-angle Consistency—0
3D Human Pose Estimation Based on 2D-3D Consistency with Synchronized Adversarial Training—0
Adapted Human Pose: Monocular 3D Human Pose Estimation with Zero Real 3D Pose DataCode0
Weakly-supervised 3D Human Pose Estimation with Cross-view U-shaped Graph Convolutional Network—0
Heuristic Weakly Supervised 3D Human Pose EstimationCode0
3D Human Pose Regression using Graph Convolutional NetworkCode0
TriPose: A Weakly-Supervised 3D Human Pose Estimation via Triangulation from Video—0
Body Meshes as PointsCode1
PoseAug: A Differentiable Pose Augmentation Framework for 3D Human Pose EstimationCode1
FLEX: Extrinsic Parameters-free Multi-view 3D Human Motion ReconstructionCode1
AGORA: Avatars in Geography Optimized for Regression AnalysisCode1
KAMA: 3D Keypoint Aware Body Mesh Articulation—0
Estimating Egocentric 3D Human Pose in Global SpaceCode1
Recent Advances in Monocular 2D and 3D Human Pose Estimation: A Deep Learning Perspective—0
Skeletor: Skeletal Transformers for Robust Body-Pose Estimation—0
Lifting Monocular Events to 3D Human PosesCode1
PARE: Part Attention Regressor for 3D Human Body EstimationCode1
Learning to Estimate Robust 3D Human Mesh from In-the-Wild Crowded ScenesCode1
Deep Monocular 3D Human Pose Estimation via Cascaded Dimension-Lifting—0
On Self-Contact and Human PoseCode1
Mesh GraphormerCode1
SimPoE: Simulated Character Control for 3D Human Pose Estimation—0
Human POSEitioning System (HPS): 3D Human Pose Estimation and Self-localization in Large Scenes from Body-Mounted SensorsCode1
PyMAF: 3D Human Pose and Shape Regression with Pyramidal Mesh Alignment Feedback LoopCode1
Bilevel Online Adaptation for Out-of-Domain Human Mesh ReconstructionCode1
Graph Stacked Hourglass Networks for 3D Human Pose EstimationCode1
Context Modeling in 3D Human Pose Estimation: A Unified PerspectiveCode1
Self-Attentive 3D Human Pose and Shape Estimation from Videos—0
Exploiting Temporal Contexts with Strided Transformer for 3D Human Pose EstimationCode1
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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