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 401–450 of 665 papers

TitleStatusHype
Building Spatio-temporal Transformers for Egocentric 3D Pose Estimation—0
SPGNet: Spatial Projection Guided 3D Human Pose Estimation in Low Dimensional Space—0
FeatER: An Efficient Network for Human Reconstruction via Feature Map-Based TransformERCode0
MUG: Multi-human Graph Network for 3D Mesh Reconstruction from 2D Pose—0
VTP: Volumetric Transformer for Multi-view Multi-person 3D Pose Estimation—0
Differentiable Dynamics for Articulated 3d Human Motion Reconstruction—0
Trajectory Optimization for Physics-Based Reconstruction of 3d Human Pose from Monocular Video—0
"Teaching Independent Parts Separately" (TIPSy-GAN) : Improving Accuracy and Stability in Unsupervised Adversarial 2D to 3D Pose Estimation—0
The Best of Both Worlds: Combining Model-based and Nonparametric Approaches for 3D Human Body Estimation—0
Integrated In-vehicle Monitoring System Using 3D Human Pose Estimation and Seat Belt Segmentation—0
3D Human Pose Estimation for Free-from and Moving Activities Using WiFi—0
Non-Local Latent Relation Distillation for Self-Adaptive 3D Human Pose Estimation—0
Aligning Silhouette Topology for Self-Adaptive 3D Human Pose Recovery—0
Spatial-Temporal Parallel Transformer for Arm-Hand Dynamic Estimation—0
On Triangulation as a Form of Self-Supervision for 3D Human Pose Estimation—0
Uncertainty-Aware Adaptation for Self-Supervised 3D Human Pose Estimation—0
LiDARCap: Long-range Marker-less 3D Human Motion Capture with LiDAR Point Clouds—0
Occluded Human Mesh Recovery—0
3D Human Pose Estimation Using Möbius Graph Convolutional Networks—0
HybridCap: Inertia-aid Monocular Capture of Challenging Human Motions—0
Capturing Humans in Motion: Temporal-Attentive 3D Human Pose and Shape Estimation from Monocular Video—0
Quantification of Occlusion Handling Capability of a 3D Human Pose Estimation FrameworkCode0
Real-Time Hybrid Mapping of Populated Indoor Scenes using a Low-Cost Monocular UAV—0
Estimating Egocentric 3D Human Pose in the Wild with External Weak Supervision—0
Multi-initialization Optimization Network for Accurate 3D Human Pose and Shape Estimation—0
HSPACE: Synthetic Parametric Humans Animated in Complex Environments—0
Multi-modal 3D Human Pose Estimation with 2D Weak Supervision in Autonomous Driving—0
PONet: Robust 3D Human Pose Estimation via Learning Orientations Only—0
Camera Motion Agnostic 3D Human Pose EstimationCode0
Hierarchical Graph Networks for 3D Human Pose EstimationCode0
Higher-Order Implicit Fairing Networks for 3D Human Pose Estimation—0
Deep Two-Stream Video Inference for Human Body Pose and Shape Estimation—0
Joint 3D Human Shape Recovery and Pose Estimation from a Single Image with Bilayer GraphCode0
3D Human Pose Estimation for Free-form Activity Using WiFi Signals—0
Learning Temporal 3D Human Pose Estimation with Pseudo-LabelsCode0
Real-time, low-cost multi-person 3D pose estimation—0
Adaptive Multi-view and Temporal Fusing Transformer for 3D Human Pose Estimation—0
Generalizable Human Pose Triangulation—0
Learning Dynamical Human-Joint Affinity for 3D Pose Estimation in Videos—0
DC-GNet: Deep Mesh Relation Capturing Graph Convolution Network for 3D Human Shape Reconstruction—0
Self-Supervised 3D Human Pose Estimation with Multiple-View GeometryCode0
Learning Skeletal Graph Neural Networks for Hard 3D Pose EstimationCode0
MetaPose: Fast 3D Pose from Multiple Views without 3D SupervisionCode0
VoxelTrack: Multi-Person 3D Human Pose Estimation and Tracking in the Wild—0
Learning Local Recurrent Models for Human Mesh Recovery—0
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
Motion Projection Consistency Based 3D Human Pose Estimation with Virtual Bones from Monocular Videos—0
Intelligent Carpet: Inferring 3D Human Pose From Tactile Signals—0
THUNDR: Transformer-based 3D HUmaN Reconstruction with Markers—0
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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