Papers › Monocular 3D Human Pose Estimation by Generation and Ordinal Ranking
Monocular 3D Human Pose Estimation by Generation and Ordinal Ranking
Saurabh Sharma, Pavan Teja Varigonda, Prashast Bindal, Abhishek Sharma, Arjun Jain
Monocular 3D human-pose estimation from static images is a challenging problem, due to the curse of dimensionality and the ill-posed nature of lifting 2D-to-3D. In this paper, we propose a Deep Conditional Variational Autoencoder based model that synthesizes diverse anatomically plausible 3D-pose samples conditioned on the estimated 2D-pose. We show that CVAE-based 3D-pose sample set is consistent with the 2D-pose and helps tackling the inherent ambiguity in 2D-to-3D lifting. We propose two strategies for obtaining the final 3D pose- (a) depth-ordering/ordinal relations to score and weight-average the candidate 3D-poses, referred to as OrdinalScore, and (b) with supervision from an Oracle. We report close to state of-the-art results on two benchmark datasets using OrdinalScore, and state-of-the-art results using the Oracle. We also show that our pipeline yields competitive results without paired image-to-3D annotations. The training and evaluation code is available at https://github.com/ssfootball04/generative_pose.
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| 3D Human Pose Estimation | HumanEva-I | Ours (Oracle) | Mean Reconstruction Error (mm) | 23.9 | #17 of 31 | Archive leaderboard | report |
| Monocular 3D Human Pose Estimation | Human3.6M | MultiPoseNet | Average MPJPE (mm) | 58.0 | #29 of 52 | Archive leaderboard | report |
| Monocular 3D Human Pose Estimation | Human3.6M | MultiPoseNet | Frames Needed | 1 | #29 of 52 | Archive leaderboard | report |
| Monocular 3D Human Pose Estimation | Human3.6M | MultiPoseNet | Need Ground Truth 2D Pose | No | #29 of 52 | Archive leaderboard | report |
| Monocular 3D Human Pose Estimation | Human3.6M | MultiPoseNet | Use Video Sequence | No | #29 of 52 | Archive leaderboard | report |
| Multi-Hypotheses 3D Human Pose Estimation | Human3.6M | Sharma et al. | Average MPJPE (mm) | 46.8 | #7 of 12 | Archive leaderboard | report |
| Multi-Hypotheses 3D Human Pose Estimation | Human3.6M | Sharma et al. | Average PMPJPE (mm) | 37.3 | #7 of 12 | 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.
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