VGI-Bench probes visual intelligence in video generation models
_akhaliq · x · 2026-08-28
VGI-Bench is a new benchmark to evaluate the visual intelligence of video generation models, containing 27 tasks and 810 instances. It tests reasoning and action-relevant priors for World Action Models (WAMs).
- Results: Even the strongest model, Seedance 2.0, achieves only 51.0% accuracy, indicating current systems are far from reliable in visual reasoning.
- Key Finding: Internal denoising analysis reveals limited self-correction; later steps refine early hypotheses rather than fix reasoning errors.
- Status: Accepted to EMNLP'2026.
Related event: VGI-Bench Exposes Weak Visual Reasoning in Video Generation Models(3 posts)→
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