Multi-Hypotheses 3D Human Pose Estimation

Benchmarks archive 2025-07-28

3 leaderboard tables shown for this task, 3 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

3 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

13 shown of 13 papers with code (16 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• End-to-end Recovery of Human Shape and Pose
  18 Dec 2017 10 repositories listed
  The main objective is to minimize the reprojection loss of keypoints, which allow our model to be trained using images in-the-wild that only have ground truth 2D annotations.
• Generating Multiple Hypotheses for 3D Human Pose Estimation with Mixture Density Network
  11 Apr 2019 2 repositories listed Syntology ran 1 of 11 samples · 10 unverified
  We argue that 3D human pose estimation from a monocular input is an inverse problem where multiple feasible solutions can exist.
• Disentangled Diffusion-Based 3D Human Pose Estimation with Hierarchical Spatial and Temporal Denoiser
  7 Mar 2024 1 repository listed
  To address these problems, a Disentangled Diffusion-based 3D Human Pose Estimation method with Hierarchical Spatial and Temporal Denoiser is proposed, termed DDHPose.
• HuManiFlow: Ancestor-Conditioned Normalising Flows on SO(3) Manifolds for Human Pose and Shape Distribution Estimation
  11 May 2023 1 repository listed Syntology ran 3 of 6 samples · 3 unverified
  Monocular 3D human pose and shape estimation is an ill-posed problem since multiple 3D solutions can explain a 2D image of a subject.
• Diffusion-Based 3D Human Pose Estimation with Multi-Hypothesis Aggregation
  21 Mar 2023 1 repository listed Syntology ran 0 of 2 samples · 2 unverified
  On the other hand, JPMA is proposed to assemble multiple hypotheses generated by D3DP into a single 3D pose for practical use.
• MHEntropy: Entropy Meets Multiple Hypotheses for Pose and Shape Recovery
  1 Jan 2023 1 repository listed
  For monocular RGB-based 3D pose and shape estimation, multiple solutions are often feasible due to factors like occlusion and truncation.
• GFPose: Learning 3D Human Pose Prior with Gradient Fields
  16 Dec 2022 1 repository listed Syntology ran 1 of 2 samples · 1 unverified
  During the denoising process, GFPose implicitly incorporates pose priors in gradients and unifies various discriminative and generative tasks in an elegant framework.
• Multi-hypothesis 3D human pose estimation metrics favor miscalibrated distributions
  20 Oct 2022 1 repository listed
  We evaluate cGNF on the Human~3.
• Hierarchical Kinematic Probability Distributions for 3D Human Shape and Pose Estimation from Images in the Wild
  3 Oct 2021 1 repository listed Syntology ran 6 of 11 samples · 5 unverified
  Thus, it is desirable to estimate a distribution over 3D body shape and pose conditioned on the input image instead of a single 3D reconstruction.
• Probabilistic Modeling for Human Mesh Recovery
  26 Aug 2021 1 repository listed
  This paper focuses on the problem of 3D human reconstruction from 2D evidence.
• Probabilistic Monocular 3D Human Pose Estimation with Normalizing Flows
  29 Jul 2021 1 repository listed Syntology ran 0 of 9 samples · 9 unverified
  3D human pose estimation from monocular images is a highly ill-posed problem due to depth ambiguities and occlusions.
• Weakly Supervised Generative Network for Multiple 3D Human Pose Hypotheses
  13 Aug 2020 1 repository listed Syntology ran 0 of 11 samples · 11 unverified
  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.
• Monocular 3D Human Pose Estimation by Generation and Ordinal Ranking
  2 Apr 2019 1 repository listed Syntology ran 0 of 3 samples · 3 unverified
  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.

Syntology lines on 8 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.