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 551–600 of 665 papers

TitleStatusHype
Resolving 3D Human Pose Ambiguities with 3D Scene ConstraintsCode0
ManiPose: Manifold-Constrained Multi-Hypothesis 3D Human Pose EstimationCode0
Lifting from the Deep: Convolutional 3D Pose Estimation from a Single ImageCode0
Rethinking Pose in 3D: Multi-stage Refinement and Recovery for Markerless Motion CaptureCode0
Multi-hypothesis 3D human pose estimation metrics favor miscalibrated distributionsCode0
TAPE: Temporal Attention-based Probabilistic human pose and shape EstimationCode0
ActiveMoCap: Optimized Viewpoint Selection for Active Human Motion CaptureCode0
Unsupervised Geometry-Aware Representation for 3D Human Pose EstimationCode0
STRIDE: Single-video based Temporally Continuous Occlusion-Robust 3D Pose EstimationCode0
Learning to Fuse 2D and 3D Image Cues for Monocular Body Pose EstimationCode0
3D Human Pose Estimation via Spatial Graph Order Attention and Temporal Body Aware TransformerCode0
Cross View Fusion for 3D Human Pose EstimationCode0
Learning Temporal 3D Human Pose Estimation with Pseudo-LabelsCode0
Learning Skeletal Graph Neural Networks for Hard 3D Pose EstimationCode0
Cooperative Inference for Real-Time 3D Human Pose Estimation in Multi-Device Edge NetworksCode0
Learning Pyramid-structured Long-range Dependencies for 3D Human Pose EstimationCode0
SCJD: Sparse Correlation and Joint Distillation for Efficient 3D Human Pose EstimationCode0
Multi-task Deep Learning for Real-Time 3D Human Pose Estimation and Action RecognitionCode0
Convolutional Pose MachinesCode0
3D human pose estimation from depth maps using a deep combination of posesCode0
Multi-view Pose Fusion for Occlusion-Aware 3D Human Pose EstimationCode0
ACRNet: Attention Cube Regression Network for Multi-view Real-time 3D Human Pose Estimation in TelemedicineCode0
MVOR: A Multi-view RGB-D Operating Room Dataset for 2D and 3D Human Pose EstimationCode0
3D Human Pose Estimation with Occlusions: Introducing BlendMimic3D Dataset and GCN RefinementCode0
NanoHTNet: Nano Human Topology Network for Efficient 3D Human Pose EstimationCode0
Neural Body Fitting: Unifying Deep Learning and Model-Based Human Pose and Shape EstimationCode0
3D-CODED : 3D Correspondences by Deep DeformationCode0
Learning from Synthetic HumansCode0
3D Human Pose Estimation in RGBD Images for Robotic Task LearningCode0
Self-Supervised 3D Human Pose Estimation with Multiple-View GeometryCode0
Learning 3D Human Shape and Pose from Dense Body PartsCode0
NToP: NeRF-Powered Large-scale Dataset Generation for 2D and 3D Human Pose Estimation in Top-View Fisheye ImagesCode0
Self-Supervised Learning of 3D Human Pose using Multi-view GeometryCode0
Learning 3D Human Pose from Structure and MotionCode0
Self-supervised Learning of Motion CaptureCode0
A Comprehensive Study of Weight Sharing in Graph Networks for 3D Human Pose EstimationCode0
Convolutional Mesh Regression for Single-Image Human Shape ReconstructionCode0
V2V-PoseNet: Voxel-to-Voxel Prediction Network for Accurate 3D Hand and Human Pose Estimation from a Single Depth MapCode0
ConvFormer: Parameter Reduction in Transformer Models for 3D Human Pose Estimation by Leveraging Dynamic Multi-Headed Convolutional AttentionCode0
PoseLifter: Absolute 3D human pose lifting network from a single noisy 2D human poseCode0
Consensus-based Optimization for 3D Human Pose Estimation in Camera CoordinatesCode0
Learning 3D Human Dynamics from VideoCode0
VarGes: Improving Variation in Co-Speech 3D Gesture Generation via StyleCLIPSCode0
Joint 3D Human Shape Recovery and Pose Estimation from a Single Image with Bilayer GraphCode0
Unite the People: Closing the Loop Between 3D and 2D Human RepresentationsCode0
Towards 3D Human Pose Estimation in the Wild: a Weakly-supervised ApproachCode0
Iterative Graph Filtering Network for 3D Human Pose EstimationCode0
Single-Shot Multi-Person 3D Pose Estimation From Monocular RGBCode0
Optimizing Local-Global Dependencies for Accurate 3D Human Pose EstimationCode0
Computer Vision to the Rescue: Infant Postural Symmetry Estimation from Incongruent AnnotationsCode0
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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