Multi-Hypotheses 3D Human Pose Estimation
7 papers with code • 2 benchmarks • 2 datasets
Benchmarks
These leaderboards are used to track progress in Multi-Hypotheses 3D Human Pose Estimation
| Trend | Dataset | Best Model | Paper | Code | Compare |
|---|---|---|---|---|---|
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Human3.6M
MPI-INF-3DHP
Most implemented papers
Generating Multiple Hypotheses for 3D Human Pose Estimation with Mixture Density Network
chaneyddtt/Generating-Multiple-Hypotheses-for-3D-Human-Pose-Estimation-with-Mixture-Density-Network
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CVPR 2019
We argue that 3D human pose estimation from a monocular input is an inverse problem where multiple feasible solutions can exist.
Monocular 3D Human Pose Estimation by Generation and Ordinal Ranking
ssfootball04/generative_pose
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ICCV 2019
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.
Weakly Supervised Generative Network for Multiple 3D Human Pose Hypotheses
chaneyddtt/weakly-supervised-3d-pose-generator
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In this paper, we propose a weakly supervised deep generative network to address the inverse problem and circumvent the need for ground truth 2D-to-3D correspondences.
Probabilistic Monocular 3D Human Pose Estimation with Normalizing Flows
twehrbein/Probabilistic-Monocular-3D-Human-Pose-Estimation-with-Normalizing-Flows
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ICCV 2021
3D human pose estimation from monocular images is a highly ill-posed problem due to depth ambiguities and occlusions.
Multi-hypothesis 3D human pose estimation metrics favor miscalibrated distributions
sinzlab/cgnf
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We evaluate cGNF on the Human~3. 6M dataset and show that cGNF provides a well-calibrated distribution estimate while being close to state-of-the-art in terms of overall minMPJPE.
GFPose: Learning 3D Human Pose Prior with Gradient Fields
Embracing/GFPose
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CVPR 2023
During the denoising process, GFPose implicitly incorporates pose priors in gradients and unifies various discriminative and generative tasks in an elegant framework.
Diffusion-Based 3D Human Pose Estimation with Multi-Hypothesis Aggregation
patrick-swk/d3dp
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ICCV 2023
On the other hand, JPMA is proposed to assemble multiple hypotheses generated by D3DP into a single 3D pose for practical use.
