README.md

metadata

license: other
license_name: mixed-research-artifact-licenses
license_link: >-
  https://huggingface.co/datasets/lefreud/GimbalDiffusion-Prompt-Entanglement/blob/main/LICENSE.md
language:
  - en
pretty_name: GimbalDiffusion Prompt Entanglement Benchmark
size_categories:
  - n<1K
task_categories:
  - text-to-video
tags:
  - video
  - image
  - camera-control
  - gravity
  - benchmark

GimbalDiffusion Prompt Entanglement Benchmark

The 380-sample benchmark used to measure pitch/content entanglement in GimbalDiffusion: Gravity-Aware Camera Control for Video Generation.

• Project page
• Paper
• Poly Haven

Contents

• prompt_entanglement.tar: the complete benchmark in one archive, unpacking directly into the layout below.
• test_index.json and test_samples/: 380 prompts, seeds, camera matrices, intrinsics, requested pitch angles, and Poly Haven panorama identifiers.
• assets/ground_truth_null_pitch/ and assets/ground_truth_pitched/: the two canonical ground-truth image sets.

Generated method outputs, duplicate ground-truth directories, derived hover/trajectory videos, plots, metrics, and paper-build files are intentionally excluded.

Download and evaluate

hf download lefreud/GimbalDiffusion-Prompt-Entanglement prompt_entanglement.tar \
  --repo-type dataset \
  --local-dir data/prompt_entanglement
tar -xf data/prompt_entanglement/prompt_entanglement.tar \
  -C data/prompt_entanglement
python -m src.scripts.evaluate_text_entanglement \
  --data-root data/prompt_entanglement \
  --method ours_ucpe \
  --negative-prompt ours_look_down

Complete the matching environment and checkpoint setup in the GimbalDiffusion README before generating outputs.

License

Poly Haven source assets are CC0. Project-authored benchmark metadata remains a research artifact; 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}
}