Datasets:
File size: 2,666 Bytes
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license: cc-by-nc-sa-4.0
language:
- en
pretty_name: GimbalDiffusion SpatialVID-Extreme
size_categories:
- n<1K
task_categories:
- text-to-video
tags:
- video
- camera-control
- camera-pose
- benchmark
- spatialvid
---
# SpatialVID-Extreme
The 138-sample extreme-camera-motion benchmark for **GimbalDiffusion: Gravity-Aware Camera Control for Video Generation**.
- [Project page](https://lvsn.github.io/GimbalDiffusion/)
- [Paper](https://arxiv.org/abs/2512.09112)
- [SpatialVID-HQ source dataset](https://huggingface.co/datasets/FelixYuan/SpatialVID-HQ)
## Contents
- `spatialvid_extreme.tar`: the complete benchmark in one archive, unpacking directly into the layout below.
- `test_index.json` and `test_samples/`: the canonical 138 prompts, seeds, absolute/relative camera matrices, intrinsics, and source identifiers.
- `assets/ground_truth_raw/` and `assets/ground_truth_for_fid_fvd/`: reference videos used by the evaluation.
Generated method outputs, legacy indices, derived hover/trajectory videos, and metric files are intentionally excluded.
## Download and evaluate
```bash
hf download lefreud/GimbalDiffusion-SpatialVID-Extreme spatialvid_extreme.tar \
--repo-type dataset \
--local-dir data/spatialvid_extreme
tar -xf data/spatialvid_extreme/spatialvid_extreme.tar \
-C data/spatialvid_extreme
python -m src.scripts.evaluate_spatialvid_extreme \
--data-root data/spatialvid_extreme \
--method ours_ucpe \
--negative-prompt ours_look_down
```
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.
## Limitations and license
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.
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).
```bibtex
@inproceedings{fortierchouinard2026gimbaldiffusion,
title = {GimbalDiffusion: Gravity-Aware Camera Control for Video Generation},
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},
booktitle = {European Conference on Computer Vision (ECCV)},
year = {2026}
}
```
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