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

Showing 201225 of 665 papers

TitleStatusHype
SLOPER4D: A Scene-Aware Dataset for Global 4D Human Pose Estimation in Urban EnvironmentsCode1
GATOR: Graph-Aware Transformer with Motion-Disentangled Regression for Human Mesh Recovery from a 2D PoseCode1
Proactive Multi-Camera Collaboration For 3D Human Pose Estimation0
Human-Art: A Versatile Human-Centric Dataset Bridging Natural and Artificial ScenesCode2
Capturing the motion of every joint: 3D human pose and shape estimation with independent tokensCode1
HopFIR: Hop-wise GraphFormer with Intragroup Joint Refinement for 3D Human Pose Estimation0
View Consistency Aware Holistic Triangulation for 3D Human Pose Estimation0
HTNet: Human Topology Aware Network for 3D Human Pose EstimationCode1
Pose-Oriented Transformer with Uncertainty-Guided Refinement for 2D-to-3D Human Pose Estimation0
3D Human Pose and Shape Estimation via HybrIK-TransformerCode1
HDFormer: High-order Directed Transformer for 3D Human Pose EstimationCode1
IKOL: Inverse kinematics optimization layer for 3D human pose and shape estimation via Gauss-Newton differentiationCode1
HSTFormer: Hierarchical Spatial-Temporal Transformers for 3D Human Pose EstimationCode0
Neuromorphic High-Frequency 3D Dancing Pose Estimation in Dynamic Environment0
CameraPose: Weakly-Supervised Monocular 3D Human Pose Estimation by Leveraging In-the-wild 2D Annotations0
SEFD: Learning to Distill Complex Pose and OcclusionCode1
MHEntropy: Entropy Meets Multiple Hypotheses for Pose and Shape RecoveryCode0
Listening Human Behavior: 3D Human Pose Estimation With Acoustic Signals0
3D Human Pose Estimation With Spatio-Temporal Criss-Cross AttentionCode1
Deformable Mesh Transformer for 3D Human Mesh RecoveryCode1
DensePose From WiFiCode2
Learning 3D Human Pose Estimation from Dozens of Datasets using a Geometry-Aware Autoencoder to Bridge Between Skeleton FormatsCode2
RFPose-OT: RF-Based 3D Human Pose Estimation via Optimal Transport Theory0
Learning to Estimate 3D Human Pose from Point Cloud0
Advanced Baseline for 3D Human Pose Estimation: A Two-Stage Approach0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Simple-baselinePA-MPJPE157Unverified
2HMRMPJPE130Unverified
3BMPMPVPE119.3Unverified
4SPINMPVPE116.4Unverified
5Wenshuo et a;.MPVPE112.6Unverified
6TCMR (T=16 w/o 3DPW)MPVPE111.5Unverified
7CHOMPMPVPE110.1Unverified
8PC-HMRMPVPE108.6Unverified
93DCrowdNetMPVPE108.5Unverified
10SMPLifyPA-MPJPE106.8Unverified
#ModelMetricClaimedVerifiedStatus
1VNect (Augm.)MPJPE124.7Unverified
2HMRMPJPE124.2Unverified
3Single-Shot Multi-PersonMPJPE122.2Unverified
4MehtaMPJPE117.6Unverified
5PONetMPJPE115Unverified
6Pose Consensus (monocular)MPJPE112.1Unverified
7GeoRep (fully-supervised)MPJPE110.8Unverified
8XFormer (HRNet)MPJPE109.8Unverified
9EpipolarPose (fully-supervised)MPJPE108.99Unverified
10SPINMPJPE105.2Unverified