VGI-Bench: Probing Visual Intelligence in Video Generation Models
Paper • 2608.19583 • Published • 170
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Check out the documentation for more information.
This repository holds the data of VGI-Bench, in two subtrees:
bench_data/ -- the benchmark itself: 27 tasks, each at 3
difficulty levels (lv1/lv2/lv3) with 10 instances for each level, where
an instance pairs an input image (16:9 -- also the first frame for video
models) with a text prompt. 16 of the tasks additionally ship an
image-generation prompt, the rest being video-only, and every task comes with
the rubric and completeness specs used for the VLM-as-judge evaluation.eval_res/ -- the raw generations every evaluated model produced on those
instances, plus the 640px previews the project page streams.bench_data/<task>/
input_image/lv{1,2,3}/<task>_lv<N>_<id>.png input image = first frame
prompt/video_gen_prompt/ prompt for video-gen models
prompt/image_gen_prompt/ prompt for image-gen models / UMM (optional)
judge_spec/_judge_rubric_<task>.json VLM-as-judge checklist
judge_spec/_completeness_judge.txt completeness scale (0 / 1 / 2)
eval_res/
video_model_res/<model>/<task>/<task>_<lv>_<id>.mp4
image_model_res/<model>/<task>/<task>_<lv>_<id>.png
_preview/... 640px previews