| ---
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| license: cc-by-nc-sa-4.0
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| language:
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| - en
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| pretty_name: GimbalDiffusion SpatialVID-Extreme
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| size_categories:
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| - n<1K
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| task_categories:
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| - text-to-video
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| tags:
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| - video
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| - camera-control
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| - camera-pose
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| - benchmark
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| - spatialvid
|
| ---
|
|
|
| # SpatialVID-Extreme
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|
|
| The 138-sample extreme-camera-motion benchmark for **GimbalDiffusion: Gravity-Aware Camera Control for Video Generation**.
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|
|
| - [Project page](https://lvsn.github.io/GimbalDiffusion/)
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| - [Paper](https://arxiv.org/abs/2512.09112)
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| - [SpatialVID-HQ source dataset](https://huggingface.co/datasets/FelixYuan/SpatialVID-HQ)
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|
|
| ## Contents
|
|
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| - `spatialvid_extreme.tar`: the complete benchmark in one archive, unpacking directly into the layout below.
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| - `test_index.json` and `test_samples/`: the canonical 138 prompts, seeds, absolute/relative camera matrices, intrinsics, and source identifiers.
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| - `assets/ground_truth_raw/` and `assets/ground_truth_for_fid_fvd/`: reference videos used by the evaluation.
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|
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| Generated method outputs, legacy indices, derived hover/trajectory videos, and metric files are intentionally excluded.
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|
|
| ## Download and evaluate
|
|
|
| ```bash
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| hf download lefreud/GimbalDiffusion-SpatialVID-Extreme spatialvid_extreme.tar \
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| --repo-type dataset \
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| --local-dir data/spatialvid_extreme
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| tar -xf data/spatialvid_extreme/spatialvid_extreme.tar \
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| -C data/spatialvid_extreme
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| python -m src.scripts.evaluate_spatialvid_extreme \
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| --data-root data/spatialvid_extreme \
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| --method ours_ucpe \
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| --negative-prompt ours_look_down
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| ```
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|
|
| Complete the matching environment and checkpoint setup in the [GimbalDiffusion README](https://github.com/lvsn/GimbalDiffusion#readme) before generating outputs. Each sample JSON contains `semantic_prompt`, `seed`, `c2w_absolute`, `c2w_relative`, and `intrinsics`; evaluation selects the pose convention required by the chosen method.
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|
|
| ## Limitations and license
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|
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| This is a deliberately difficult, small diagnostic benchmark rather than a representative sample of all prompts or camera motions. Scores should be interpreted together with the protocol in the paper and supplement.
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|
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| The benchmark is derived from SpatialVID-HQ material distributed under CC-BY-NC-SA-4.0 and is released under the same license. See [LICENSE.md](LICENSE.md).
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|
|
| ```bibtex
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| @inproceedings{fortierchouinard2026gimbaldiffusion,
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| title = {GimbalDiffusion: Gravity-Aware Camera Control for Video Generation},
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| author = {Fortier-Chouinard, Fr{\'e}d{\'e}ric and Hold-Geoffroy, Yannick and Deschaintre, Valentin and Gadelha, Matheus and Lalonde, Jean-Fran{\c{c}}ois},
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| booktitle = {European Conference on Computer Vision (ECCV)},
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| year = {2026}
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| }
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| ```
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|
|
