Datasets › Motion-X
Motion-X
Motion-X is a large-scale 3D expressive whole-body motion dataset, which comprises 15.6M precise 3D whole-body pose annotations (i.e., SMPL-X) covering 81.1K motion sequences from massive scenes, meanwhile providing corresponding semantic labels and pose descriptions.
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) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Motion Synthesis | Motion-X | HumanTOMATO FID 1.174 | HumanTOMATO: Text-aligned Whole-body Motion Generation | IDEA-Research/HumanTOMATO | 4 | Compare |
Papers archive 2025-07-28
4 shown of 4 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 22. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
| Date | Samples run Syntology | |||
|---|---|---|---|---|
| HumanTOMATO: Text-aligned Whole-body Motion Generation | 1 | 1 | 19 Oct 2023 | ran 12 of 18 samples (6 unverified; 18 pointer-only for licence) |
| T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete Representations | 1 | 1 | 15 Jan 2023 | ran 5 of 7 samples (2 unverified) |
| Executing your Commands via Motion Diffusion in Latent Space | 1 | 1 | 8 Dec 2022 | ran 1 of 1 samples (0 unverified) |
| Human Motion Diffusion Model | 1 | 1 | 29 Sep 2022 | ran 1 of 1 samples (0 unverified; 1 pointer-only for licence) |
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
CC-BYNC-SA 4.0
Modalities archive 2025-07-28
Languages archive 2025-07-28
Variants archive 2025-07-28
- Motion-X
1 variant name, as the archive lists them.
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