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 601–650 of 665 papers

TitleStatusHype
Shape-Aware Human Pose and Shape Reconstruction Using Multi-View Images—0
Sim2real transfer learning for 3D human pose estimation: motion to the rescue—0
SimPoE: Simulated Character Control for 3D Human Pose Estimation—0
Skeleton Transformer Networks: 3D Human Pose and Skinned Mesh from Single RGB Image—0
Skeletor: Skeletal Transformers for Robust Body-Pose Estimation—0
SkelFormer: Markerless 3D Pose and Shape Estimation using Skeletal Transformers—0
SMPLy Benchmarking 3D Human Pose Estimation in the Wild—0
Sparse Inertial Poser: Automatic 3D Human Pose Estimation from Sparse IMUs—0
Sparse Representation for 3D Shape Estimation: A Convex Relaxation Approach—0
Spatial-Temporal Parallel Transformer for Arm-Hand Dynamic Estimation—0
SPGNet: Spatial Projection Guided 3D Human Pose Estimation in Low Dimensional Space—0
SSP-Net: Scalable Sequential Pyramid Networks for Real-Time 3D Human Pose Regression—0
STGFormer: Spatio-Temporal GraphFormer for 3D Human Pose Estimation in Video—0
Generalizable Human Pose Triangulation—0
Structured Prediction of 3D Human Pose with Deep Neural Networks—0
SVMAC: Unsupervised 3D Human Pose Estimation from a Single Image with Single-view-multi-angle Consistency—0
Systematic Comparison of Projection Methods for Monocular 3D Human Pose Estimation on Fisheye Images—0
"Teaching Independent Parts Separately" (TIPSy-GAN) : Improving Accuracy and Stability in Unsupervised Adversarial 2D to 3D Pose Estimation—0
TEMPO: Efficient Multi-View Pose Estimation, Tracking, and Forecasting—0
Temporal-Aware Refinement for Video-based Human Pose and Shape Recovery—0
TesseTrack: End-to-End Learnable Multi-Person Articulated 3D Pose Tracking—0
Di^2Pose: Discrete Diffusion Model for Occluded 3D Human Pose Estimation—0
The Best of Both Worlds: Combining Model-based and Nonparametric Approaches for 3D Human Body Estimation—0
THUNDR: Transformer-based 3D HUmaN Reconstruction with Markers—0
Total capture: 3D human pose estimation fusing video and inertial sensors—0
Toward Efficient Generalization in 3D Human Pose Estimation via a Canonical Domain Approach—0
Towards Alleviating the Modeling Ambiguity of Unsupervised Monocular 3D Human Pose Estimation—0
Towards Balanced Continual Multi-Modal Learning in Human Pose Estimation—0
Towards Generalization of 3D Human Pose Estimation In The Wild—0
Towards Locality Similarity Preserving to 3D Human Pose Estimation—0
Towards Part-aware Monocular 3D Human Pose Estimation: An Architecture Search Approach—0
Trajectory Optimization for Physics-Based Reconstruction of 3d Human Pose from Monocular Video—0
TriPose: A Weakly-Supervised 3D Human Pose Estimation via Triangulation from Video—0
Twin gaussian processes for structured prediction—0
Two Views Are Better than One: Monocular 3D Pose Estimation with Multiview Consistency—0
Uncertainty-Aware Adaptation for Self-Supervised 3D Human Pose Estimation—0
Uncertainty-Aware Testing-Time Optimization for 3D Human Pose Estimation—0
Unconstrained Monocular 3D Human Pose Estimation by Action Detection and Cross-Modality Regression Forest—0
Understanding Human-Centric Images: From Geometry to Fashion—0
Understanding Pose and Appearance Disentanglement in 3D Human Pose Estimation—0
UniHPE: Towards Unified Human Pose Estimation via Contrastive Learning—0
UnrealEgo: A New Dataset for Robust Egocentric 3D Human Motion Capture—0
Unsupervised 3D Keypoint Discovery with Multi-View Geometry—0
Unsupervised 3D Pose Estimation with Geometric Self-Supervision—0
Unsupervised 3D Pose Estimation with Non-Rigid Structure-from-Motion Modeling—0
Unsupervised Adversarial Learning of 3D Human Pose from 2D Joint Locations—0
Unsupervised Cross-Domain 3D Human Pose Estimation via Pseudo-Label-Guided Global Transforms—0
Temporal Representation Learning on Monocular Videos for 3D Human Pose Estimation—0
Unsupervised Multi-Person 3D Human Pose Estimation From 2D Poses Alone—0
UPose3D: Uncertainty-Aware 3D Human Pose Estimation with Cross-View and Temporal Cues—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