Datasets › AH36M

AH36M (Ambiguous Human3.6M)

Introduced by Benjamin Biggs et al. in 3D Multi-bodies: Fitting Sets of Plausible 3D Human Models to Ambiguous Image Data2 Nov 2020 archive 2025-07-28

Since H36M is captured in a controlled environment, it rarely depicts challenging real-world scenarios such as body occlusions that are the main source of ambiguity in the single-view 3D shape estimation problem. Hence, we construct an adapted version of H36M with synthetically-generated occlusions by randomly hiding a subset of the 2D keypoints and re-computing an image crop around the remaining visible joints.

Benchmarks archive 2025-07-28

All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

First row (archive order)PaperCode
Multi-Hypotheses 3D Human Pose Estimation AH36M MHEntropy (3D) Best-Hypothesis PMPJPE (n = 25) 50.6 MHEntropy: Entropy Meets Multiple Hypotheses for Pose... GloryyrolG/MHEntropy 10 Compare

Papers archive 2025-07-28

6 shown of 6 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 6. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

Dataset loaders archive 2025-07-28

1 loader as listed in the archive; links are outbound and not re-checked here.

Tasks archive 2025-07-28

License archive 2025-07-28

MIT

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • AH36M

1 variant name, as the archive lists them.

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