README.md

metadata

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
• Paper
• SpatialVID-HQ source dataset

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

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 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.

@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}
}