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
A Unified Deep Framework for Joint 3D Pose Estimation and Action Recognition from a Single RGB Camera—0
Behavior Imitation for Manipulator Control and Grasping with Deep Reinforcement Learning—0
Benchmarking 3D Human Pose Estimation Models Under Occlusions—0
Beyond Weak Perspective for Monocular 3D Human Pose Estimation—0
BioPose: Biomechanically-accurate 3D Pose Estimation from Monocular Videos—0
BlanketGen - A synthetic blanket occlusion augmentation pipeline for MoCap datasets—0
BlazePose GHUM Holistic: Real-time 3D Human Landmarks and Pose Estimation—0
Bring Your Rear Cameras for Egocentric 3D Human Pose Estimation—0
Building Spatio-temporal Transformers for Egocentric 3D Pose Estimation—0
BundleMoCap: Efficient, Robust and Smooth Motion Capture from Sparse Multiview Videos—0
CameraPose: Weakly-Supervised Monocular 3D Human Pose Estimation by Leveraging In-the-wild 2D Annotations—0
Can 3D Pose be Learned from 2D Projections Alone?—0
Capturing Humans in Motion: Temporal-Attentive 3D Human Pose and Shape Estimation from Monocular Video—0
Cascaded Pyramid Network for 3D Human Pose Estimation Challenge—0
Continuous Normalizing Flows for Uncertainty-Aware Human Pose Estimation—0
D3PRefiner: A Diffusion-based Denoise Method for 3D Human Pose Refinement—0
DC-GNet: Deep Mesh Relation Capturing Graph Convolution Network for 3D Human Shape Reconstruction—0
DiffMesh: A Motion-aware Diffusion Framework for Human Mesh Recovery from Videos—0
Decomposed Human Motion Prior for Video Pose Estimation via Adversarial Training—0
Deep Autoencoder for Combined Human Pose Estimation and body Model Upscaling—0
DeepFuse: An IMU-Aware Network for Real-Time 3D Human Pose Estimation from Multi-View Image—0
Deep Kinematic Pose Regression—0
Deep Kinematics Analysis for Monocular 3D Human Pose Estimation—0
Deep Monocular 3D Human Pose Estimation via Cascaded Dimension-Lifting—0
Deep Multitask Architecture for Integrated 2D and 3D Human Sensing—0
Single-shot 3D multi-person pose estimation in complex images—0
DeepSkeleton: Skeleton Map for 3D Human Pose Regression—0
Deep Two-Stream Video Inference for Human Body Pose and Shape Estimation—0
DenseRaC: Joint 3D Pose and Shape Estimation by Dense Render-and-Compare—0
Depth-based Privileged Information for Boosting 3D Human Pose Estimation on RGB—0
Depth sweep regression forests for estimating 3d human pose from images—0
Differentiable Dynamics for Articulated 3d Human Motion Reconstruction—0
DiffHPE: Robust, Coherent 3D Human Pose Lifting with Diffusion—0
DiffPose: Multi-hypothesis Human Pose Estimation using Diffusion models—0
Direct Prediction of 3D Body Poses from Motion Compensated Sequences—0
DRPose3D: Depth Ranking in 3D Human Pose Estimation—0
Dynamic Graph Reasoning for Multi-person 3D Pose Estimation—0
Monocular Human Pose and Shape Reconstruction using Part Differentiable Rendering—0
Embodied Scene-aware Human Pose Estimation—0
End-to-end Dynamic Matching Network for Multi-view Multi-person 3d Pose Estimation—0
Enhanced 3D Human Pose Estimation from Videos by using Attention-Based Neural Network with Dilated Convolutions—0
Error Bounds of Projection Models in Weakly Supervised 3D Human Pose Estimation—0
ESCAPE: Energy-based Selective Adaptive Correction for Out-of-distribution 3D Human Pose Estimation—0
Estimating Egocentric 3D Human Pose in the Wild with External Weak Supervision—0
Everybody Is Unique: Towards Unbiased Human Mesh Recovery—0
EVOPOSE: A Recursive Transformer For 3D Human Pose Estimation With Kinematic Structure Priors—0
Explicit Occlusion Reasoning for Multi-person 3D Human Pose Estimation—0
Exploring 3D Human Pose Estimation and Forecasting from the Robot's Perspective: The HARPER Dataset—0
Exploring Severe Occlusion: Multi-Person 3D Pose Estimation with Gated Convolution—0
ExtPose: Robust and Coherent Pose Estimation by Extending ViTs—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