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Motius Leaderboard Case Assets
This dataset stores compact browser assets for the all-case comparison pages in the public Motius leaderboards. It is a visualization companion, not a training or evaluation dataset.
| Folder | Population | Comparison |
|---|---|---|
m2t-humanml3d-smpl/ |
4,400 | HumanML3D input motion with TM2T, MotionGPT, MotionGPT3, and VerMo captions |
t2m-humanml3d-smpl/ |
4,042 | HumanML3D selected captions with every released T2M output |
babel-sequential-smpl/ |
1,295 | BABEL GT, FlowMDM, MotionStreamer, MotionLab, and PRISM episodes |
temporal-condition-smpl/ |
4,012 per setting | Six temporal-control settings with GT and five generation methods |
Motion pages decode the repository-standard SMPL motion_135 representation:
root translation plus 22 row-major rotation-6D joints. Translation is
quantized per clip to unsigned 16-bit values, while rotation-6D channels use a
fixed signed 16-bit scale. The Three.js viewer applies these transforms to a
neutral SMPL template with linear blend skinning, so the displayed result is an
animated body mesh rather than a joint-only skeleton.
Each manifest records source frame count, playback rate, stride, byte offsets, and translation quantization parameters. All methods for a selected case are loaded together and played on one synchronized timeline.
Assets are generated by:
python tools/export_smpl_web_model.py --help
python tools/build_smpl_motion_gallery.py --help
python tools/build_m2t_smpl_gallery.py --help
python tools/build_temporal_case_explorer.py --help
python tools/build_babel_smpl_gallery.py --help
Metrics never consume these quantized browser assets. Evaluation uses the original full-precision motions; this dataset is only for qualitative review.
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