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 251–275 of 665 papers

TitleStatusHype
Learning Local Recurrent Models for Human Mesh Recovery—0
(Fusionformer):Exploiting the Joint Motion Synergy with Fusion Network Based On Transformer for 3D Human Pose Estimation—0
Capturing Humans in Motion: Temporal-Attentive 3D Human Pose and Shape Estimation from Monocular Video—0
3D Human Pose Estimation Using Möbius Graph Convolutional Networks—0
Learning Monocular 3D Human Pose Estimation from Multi-view Images—0
Fusing Audio, Textual and Visual Features for Sentiment Analysis of News Videos—0
FusePose: IMU-Vision Sensor Fusion in Kinematic Space for Parametric Human Pose Estimation—0
3D Human Pose Estimation Using Convolutional Neural Networks with 2D Pose Information—0
Can 3D Pose be Learned from 2D Projections Alone?—0
CameraPose: Weakly-Supervised Monocular 3D Human Pose Estimation by Leveraging In-the-wild 2D Annotations—0
FBI-Pose: Towards Bridging the Gap between 2D Images and 3D Human Poses using Forward-or-Backward Information—0
Learning Dynamical Human-Joint Affinity for 3D Pose Estimation in Videos—0
Learning Pose Grammar for Monocular 3D Pose Estimation—0
Learning to Estimate 3D Human Pose from Point Cloud—0
ExtPose: Robust and Coherent Pose Estimation by Extending ViTs—0
ActionPrompt: Action-Guided 3D Human Pose Estimation With Text and Pose Prompting—0
Exploring Severe Occlusion: Multi-Person 3D Pose Estimation with Gated Convolution—0
Multiview-Consistent Semi-Supervised Learning for 3D Human Pose Estimation—0
Exploring 3D Human Pose Estimation and Forecasting from the Robot's Perspective: The HARPER Dataset—0
KinePose: A temporally optimized inverse kinematics technique for 6DOF human pose estimation with biomechanical constraints—0
BundleMoCap: Efficient, Robust and Smooth Motion Capture from Sparse Multiview Videos—0
Kinematic-Structure-Preserved Representation for Unsupervised 3D Human Pose Estimation—0
LCR-Net: Localization-Classification-Regression for Human Pose—0
Acoustic-based 3D Human Pose Estimation Robust to Human Position—0
Building Spatio-temporal Transformers for Egocentric 3D Pose Estimation—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