SOTAVerified

3D Absolute Human Pose Estimation

This task aims to solve absolute (camera-centric not root-relative) 3D human pose estimation.

( Image credit: RootNet )

Papers

Showing 113 of 13 papers

TitleStatusHype
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory ModelCode3
Encoder-decoder with Multi-level Attention for 3D Human Shape and Pose EstimationCode1
End-to-End Human Pose and Mesh Reconstruction with TransformersCode1
Fusing Wearable IMUs with Multi-View Images for Human Pose Estimation: A Geometric ApproachCode1
Graph and Temporal Convolutional Networks for 3D Multi-person Pose Estimation in Monocular VideosCode1
Out-of-Domain Human Mesh Reconstruction via Dynamic Bilevel Online AdaptationCode1
MeTRAbs: Metric-Scale Truncation-Robust Heatmaps for Absolute 3D Human Pose EstimationCode1
RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic SegmentationCode0
Camera Distance-aware Top-down Approach for 3D Multi-person Pose Estimation from a Single RGB ImageCode0
Learning Pose Grammar to Encode Human Body Configuration for 3D Pose Estimation0
A^2-Nets: Double Attention Networks0
The Best of Both Worlds: Combining Model-based and Nonparametric Approaches for 3D Human Body Estimation0
Understanding Diffusion Models: A Unified Perspective0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1RootNetMRPE120Unverified
2GnTCNMRPE88.1Unverified
3Pose GrammarAverage MPJPE (mm)60.4Unverified
4MBNAPA-MPJPE38.4Unverified
#ModelMetricClaimedVerifiedStatus
1DynaBOAMPJPE55.2Unverified
#ModelMetricClaimedVerifiedStatus
1GeoFuseMPJPE24.6Unverified