Datasets:
File size: 2,374 Bytes
42ff4d2 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 | ---
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](https://lvsn.github.io/GimbalDiffusion/)
- [Paper](https://arxiv.org/abs/2512.09112)
- [Poly Haven](https://polyhaven.com/)
## 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
```bash
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](https://github.com/lvsn/GimbalDiffusion#readme) before generating outputs.
## License
Poly Haven source assets are CC0. Project-authored benchmark metadata remains a research artifact; 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}
}
```
|