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 76100 of 665 papers

TitleStatusHype
Compressed Volumetric Heatmaps for Multi-Person 3D Pose EstimationCode1
Faster VoxelPose: Real-time 3D Human Pose Estimation by Orthographic ProjectionCode1
FreeMan: Towards Benchmarking 3D Human Pose Estimation under Real-World ConditionsCode1
Attention Mechanism Exploits Temporal Contexts: Real-Time 3D Human Pose ReconstructionCode1
Coarse-to-Fine Volumetric Prediction for Single-Image 3D Human PoseCode1
Combining Implicit Function Learning and Parametric Models for 3D Human ReconstructionCode1
Highly Efficient 3D Human Pose Tracking from Events with Spiking Spatiotemporal TransformerCode1
A simple yet effective baseline for 3d human pose estimationCode1
Learning to Estimate Robust 3D Human Mesh from In-the-Wild Crowded ScenesCode1
ARTS: Semi-Analytical Regressor using Disentangled Skeletal Representations for Human Mesh Recovery from VideosCode1
Co-Evolution of Pose and Mesh for 3D Human Body Estimation from VideoCode1
AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent ConversationCode1
PoseBench3D: A Cross-Dataset Analysis Framework for 3D Human Pose EstimationCode1
Back to Optimization: Diffusion-based Zero-Shot 3D Human Pose EstimationCode1
3D Human Shape and Pose from a Single Low-Resolution Image with Self-Supervised LearningCode1
3D Human Pose Estimation With Spatio-Temporal Criss-Cross AttentionCode1
Conditional Directed Graph Convolution for 3D Human Pose EstimationCode1
Beyond Static Features for Temporally Consistent 3D Human Pose and Shape from a VideoCode1
Epipolar TransformersCode1
Estimating Egocentric 3D Human Pose in Global SpaceCode1
EventEgo3D: 3D Human Motion Capture from Egocentric Event StreamsCode1
Cross-Attention of Disentangled Modalities for 3D Human Mesh Recovery with TransformersCode1
BLAPose: Enhancing 3D Human Pose Estimation with Bone Length AdjustmentCode1
3D human pose estimation in video with temporal convolutions and semi-supervised trainingCode1
Fusing Monocular Images and Sparse IMU Signals for Real-time Human Motion CaptureCode1
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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