Datasets:
id stringlengths 67 67 | semantic_prompt stringlengths 81 204 | camera_motion_prompt stringlengths 132 254 | seed int64 15k 984k | fixed_variables null | dynamic_variables null | rotation_keyframes null | dataset_source stringclasses 1
value | clip_name stringlengths 36 36 | c2w_absolute listlengths 1 1 | c2w_relative listlengths 1 1 | artificial_roll_angles listlengths 49 49 | intrinsics listlengths 1 1 | frame_indices listlengths 49 49 | video_path stringlengths 110 110 |
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SpatialVID-HQ-dataloader-00001-8fac7d3d-21ac-52c9-8496-20327f1a8093 | An aerial view of a partially restored stone castle surrounded by trees and a grassy courtyard, bathed in bright lighting that enhances its historic charm. | The camera starts at small tilt-up of 18 degrees. The camera ends with pan of 27 degrees turned left, small tilt-up of 8 degrees, a small Dutch angle tilted counterclockwise 17 degree | 441,001 | null | null | null | SpatialVID-HQ | 8fac7d3d-21ac-52c9-8496-20327f1a8093 | [
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SpatialVID-HQ-dataloader-00003-3ef36ee6-3152-5122-9f5a-a8880c4a5a1e | A serene coastal bay features a small beach, rocky cliffs, and clustered buildings, framed by lush green hills under bright, natural lighting. | The camera starts with extreme tilt-up of 50 degrees, and a large Dutch angle tilted counterclockwise 24 degrees. The camera ends with pan of 50 degrees turned right, extreme tilt-down of 69 degree | 536,110 | null | null | null | SpatialVID-HQ | 3ef36ee6-3152-5122-9f5a-a8880c4a5a1e | [
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SpatialVID-HQ-dataloader-00004-00fed3a8-9d3a-5035-a845-e14e36624602 | A bustling New York City street is framed by towering buildings, with a tall skyscraper dominating the skyline under bright, slightly desaturated sunlight. | The camera starts with small tilt-down of 15 degrees, and a large Dutch angle tilted counterclockwise 36 degrees. The camera ends with pan of 99 degrees turned right, large tilt-down of 42 degree | 821,872 | null | null | null | SpatialVID-HQ | 00fed3a8-9d3a-5035-a845-e14e36624602 | [
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SpatialVID-HQ-dataloader-00005-4c45b60b-bb9d-55d0-bbd5-10c2087e91e8 | A vibrant forest canopy bathed in green and yellow foliage frames a blue sky, creating a peaceful, tranquil atmosphere under soft, diffused light. | The camera starts at large tilt-up of 21 degrees. The camera ends with pan of 42 degrees turned right, small tilt-up of 20 degrees, a large Dutch angle tilted clockwise 38 degree | 375,441 | null | null | null | SpatialVID-HQ | 4c45b60b-bb9d-55d0-bbd5-10c2087e91e8 | [
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SpatialVID-HQ-dataloader-00007-8fd32f17-2ba8-5055-bea0-248fefacf307 | Two imposing skyscrapers rise against a blue-hued sky, their contrasting shapes and reflective surfaces creating an urban landscape filled with dramatic scale and light. | The camera starts with small tilt-down of 11 degrees, and a small Dutch angle tilted counterclockwise 15 degrees. The camera ends with pan of 158 degrees turned left, large tilt-up of 36 degrees, a small Dutch angle tilted clockwise 11 degree | 792,518 | null | null | null | SpatialVID-HQ | 8fd32f17-2ba8-5055-bea0-248fefacf307 | [
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SpatialVID-HQ-dataloader-00008-05b75f4f-bb36-5a65-baf7-ec579b92be81 | A serene white bell tower stands beside a reflective pool, surrounded by lush greenery and ancient ruins under a blue sky, evoking a timeless, tranquil atmosphere. | The camera starts with extreme tilt-down of 67 degrees, and a small Dutch angle tilted counterclockwise 14 degrees. The camera ends with pan of 49 degrees turned left, large tilt-down of 33 degrees, a large Dutch angle tilted clockwise 23 degree | 262,674 | null | null | null | SpatialVID-HQ | 05b75f4f-bb36-5a65-baf7-ec579b92be81 | [
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SpatialVID-HQ-dataloader-00009-1f0794ca-4fa9-5023-b761-5a1ce9dda691 | "A desolate winter landscape features a frost-covered field, a modest structure, and distant industr(...TRUNCATED) | "The camera starts at extreme tilt-down of 72 degrees. The camera ends with pan of 122 degrees turne(...TRUNCATED) | 765,284 | null | null | null | SpatialVID-HQ | 1f0794ca-4fa9-5023-b761-5a1ce9dda691 | [[[[0.9963275790214539,0.08562348783016205,0.0,3.0152021491558896e-12],[-0.026981685310602188,0.3139(...TRUNCATED) | [[[[0.9999999403953552,-1.4901161193847656e-8,0.0,-3.75977947741433e-19],[0.0,1.0,2.9802322387695312(...TRUNCATED) | [-4.91187858581543,-3.045027256011963,-1.1278891563415527,0.8298205733299255,2.817399024963379,4.823(...TRUNCATED) | [[[240.0,240.0,360.0,240.0],[240.0,240.0,360.0,240.0],[240.0,240.0,360.0,240.0],[240.0,240.0,360.0,2(...TRUNCATED) | [0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,3(...TRUNCATED) | "SpatialVID-HQ/SpatialVID/extreme_subset_manually_filtered/video_clips/1f0794ca-4fa9-5023-b761-5a1ce(...TRUNCATED) |
SpatialVID-HQ-dataloader-00010-8a1cba95-f0fc-53c7-b584-20b93ff3e338 | "A bustling city sidewalk under scaffolding, with pedestrians in casual summer clothes, cars, and bu(...TRUNCATED) | "The camera starts with extreme tilt-down of 46 degrees, and a small Dutch angle tilted clockwise 20(...TRUNCATED) | 717,209 | null | null | null | SpatialVID-HQ | 8a1cba95-f0fc-53c7-b584-20b93ff3e338 | [[[[0.9412546157836914,0.3376977741718292,-1.3877787807814457e-17,-3.50102416241858e-13],[-0.2345701(...TRUNCATED) | [[[[1.0,-1.4901161193847656e-8,0.0,0.0],[0.0,1.0,0.0,-8.851781127173579e-20],[0.0,0.0,1.0,0.0],[0.0,(...TRUNCATED) | [-19.736671447753906,-20.129974365234375,-20.50313377380371,-20.855194091796875,-21.185169219970703,(...TRUNCATED) | [[[240.0,240.0,360.0,240.0],[240.0,240.0,360.0,240.0],[240.0,240.0,360.0,240.0],[240.0,240.0,360.0,2(...TRUNCATED) | [0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,3(...TRUNCATED) | "SpatialVID-HQ/SpatialVID/extreme_subset_manually_filtered/video_clips/8a1cba95-f0fc-53c7-b584-20b93(...TRUNCATED) |
SpatialVID-HQ-dataloader-00011-14cff693-c61a-5834-ae66-5c9d2d8a526d | "A vibrant urban landscape features two contrasting skyscrapers under a clear blue sky, blending mod(...TRUNCATED) | "The camera starts with large tilt-down of 24 degrees, and a large Dutch angle tilted clockwise 29 d(...TRUNCATED) | 105,592 | null | null | null | SpatialVID-HQ | 14cff693-c61a-5834-ae66-5c9d2d8a526d | [[[[0.8750815987586975,0.4839753806591034,0.0,-1.8921016612328128e-11],[-0.44339728355407715,0.80171(...TRUNCATED) | [[[[1.0,0.0,-1.4901161193847656e-8,-6.404525973536556e-19],[2.9802322387695312e-8,1.0,2.980232238769(...TRUNCATED) | [-28.945363998413086,-26.681411743164062,-24.46815299987793,-22.31310272216797,-20.22277069091797,-1(...TRUNCATED) | [[[240.0,240.0,360.0,240.0],[240.0,240.0,360.0,240.0],[240.0,240.0,360.0,240.0],[240.0,240.0,360.0,2(...TRUNCATED) | [0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,3(...TRUNCATED) | "SpatialVID-HQ/SpatialVID/extreme_subset_manually_filtered/video_clips/14cff693-c61a-5834-ae66-5c9d2(...TRUNCATED) |
SpatialVID-HQ-dataloader-00012-04efd62b-b40a-50b8-909b-417e980a6839 | "A quiet, overcast path lined with trees and a fence runs alongside a road, where people walk in a c(...TRUNCATED) | "The camera starts with small tilt-down of 6 degrees, and a large Dutch angle tilted clockwise 32 de(...TRUNCATED) | 640,561 | null | null | null | SpatialVID-HQ | 04efd62b-b40a-50b8-909b-417e980a6839 | [[[[0.8451486825942993,0.5345312356948853,-6.938893903907228e-18,-5.3897286683774865e-12],[-0.531941(...TRUNCATED) | [[[[1.0,4.6100467443466187e-8,3.725290298461914e-9,-3.7456599885466593e-19],[-4.330649971961975e-8,0(...TRUNCATED) | [-32.31212615966797,-31.70184326171875,-31.109039306640625,-30.532390594482422,-29.97064781188965,-2(...TRUNCATED) | [[[240.0,240.0,360.0,240.0],[240.0,240.0,360.0,240.0],[240.0,240.0,360.0,240.0],[240.0,240.0,360.0,2(...TRUNCATED) | [0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,3(...TRUNCATED) | "SpatialVID-HQ/SpatialVID/extreme_subset_manually_filtered/video_clips/04efd62b-b40a-50b8-909b-417e9(...TRUNCATED) |
SpatialVID-Extreme
The 138-sample extreme-camera-motion benchmark for GimbalDiffusion: Gravity-Aware Camera Control for Video Generation.
Contents
spatialvid_extreme.tar: the complete benchmark in one archive, unpacking directly into the layout below.test_index.jsonandtest_samples/: the canonical 138 prompts, seeds, absolute/relative camera matrices, intrinsics, and source identifiers.assets/ground_truth_raw/andassets/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}
}
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