Multi-Hypotheses 3D Human Pose Estimation
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Benchmarks
Most implemented
End-to-end Recovery of Human Shape and Pose
Generating Multiple Hypotheses for 3D Human Pose Estimation with Mixture Density Network
Disentangled Diffusion-Based 3D Human Pose Estimation with Hierarchical Spatial and Temporal Denoiser
HuManiFlow: Ancestor-Conditioned Normalising Flows on SO(3) Manifolds for Human Pose and Shape Distribution Estimation
Diffusion-Based 3D Human Pose Estimation with Multi-Hypothesis Aggregation
MHEntropy: Entropy Meets Multiple Hypotheses for Pose and Shape Recovery
Papers
Disentangled Diffusion-Based 3D Human Pose Estimation with Hierarchical Spatial and Temporal Denoiser
Recently, diffusion-based methods for monocular 3D human pose estimation have achieved state-of-the-art (SOTA) performance by directly regressing the 3D joint coordinates from the 2D pose sequence. Although some methods …
3D Human Pose EstimationDisentanglementMonocular 3D Human Pose EstimationMulti-Hypotheses 3D Human Pose Estimation+1HuManiFlow: Ancestor-Conditioned Normalising Flows on SO(3) Manifolds for Human Pose and Shape Distribution Estimation
Monocular 3D human pose and shape estimation is an ill-posed problem since multiple 3D solutions can explain a 2D image of a subject. Recent approaches predict a probability distribution over plausible 3D pose and shape …
3D human pose and shape estimation3D Human Pose EstimationDiversityMulti-Hypotheses 3D Human Pose Estimation+1Diffusion-Based 3D Human Pose Estimation with Multi-Hypothesis Aggregation
In this paper, a novel Diffusion-based 3D Pose estimation (D3DP) method with Joint-wise reProjection-based Multi-hypothesis Aggregation (JPMA) is proposed for probabilistic 3D human pose estimation. On the one hand, D3DP…
3D Human Pose Estimation3D Pose EstimationMonocular 3D Human Pose EstimationMulti-Hypotheses 3D Human Pose Estimation+1MHEntropy: Entropy Meets Multiple Hypotheses for Pose and Shape Recovery
For monocular RGB-based 3D pose and shape estimation, multiple solutions are often feasible due to factors like occlusion and truncation. This work presents a multi-hypothesis probabilistic framework by optimizing th…
3D Hand Pose Estimation3D Human Pose Estimation3D Human ReconstructionDiversity+2GFPose: Learning 3D Human Pose Prior with Gradient Fields
Learning 3D human pose prior is essential to human-centered AI. Here, we present GFPose, a versatile framework to model plausible 3D human poses for various applications. At the core of GFPose is a time-dependent score n…
3D Human Pose EstimationDenoisingMonocular 3D Human Pose EstimationMulti-Hypotheses 3D Human Pose EstimationMulti-hypothesis 3D human pose estimation metrics favor miscalibrated distributions
Due to depth ambiguities and occlusions, lifting 2D poses to 3D is a highly ill-posed problem. Well-calibrated distributions of possible poses can make these ambiguities explicit and preserve the resulting uncertainty fo…
3D Human Pose EstimationDensity EstimationMulti-Hypotheses 3D Human Pose EstimationPose Estimation