Papers › Context Modeling in 3D Human Pose Estimation: A Unified Perspective

Context Modeling in 3D Human Pose Estimation: A Unified Perspective

29 Mar 2021CVPR 2021 1arXiv:2103.15507archive 2025-07-28

Xiaoxuan Ma, Jiajun Su, Chunyu Wang, Hai Ci, Yizhou Wang

Estimating 3D human pose from a single image suffers from severe ambiguity since multiple 3D joint configurations may have the same 2D projection. The state-of-the-art methods often rely on context modeling methods such as pictorial structure model (PSM) or graph neural network (GNN) to reduce ambiguity. However, there is no study that rigorously compares them side by side. So we first present a general formula for context modeling in which both PSM and GNN are its special cases. By comparing the two methods, we found that the end-to-end training scheme in GNN and the limb length constraints in PSM are two complementary factors to improve results. To combine their advantages, we propose ContextPose based on attention mechanism that allows enforcing soft limb length constraints in a deep network. The approach effectively reduces the chance of getting absurd 3D pose estimates with incorrect limb lengths and achieves state-of-the-art results on two benchmark datasets. More importantly, the introduction of limb length constraints into deep networks enables the approach to achieve much better generalization performance.

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Tasks

3D Human Pose EstimationGraph Neural NetworkPose Estimation

Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
3D Human Pose Estimation Human3.6M ContextPose Average MPJPE (mm) 43.4 #29 of 88 Archive leaderboard report
3D Human Pose Estimation Human3.6M ContextPose Multi-View or Monocular Monocular #29 of 88 Archive leaderboard report
3D Human Pose Estimation Human3.6M ContextPose Using 2D ground-truth joints No #29 of 88 Archive leaderboard report
3D Human Pose Estimation MPI-INF-3DHP ContextPose AUC 42.7 #95 of 108 Archive leaderboard report
3D Human Pose Estimation MPI-INF-3DHP ContextPose PCK 80.5 #95 of 108 Archive leaderboard report

Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.

Methods

Graph Neural Network

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