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PhysVidBench: Language-Grounded Evaluation of Physical Commonsense in Text-to-Video Models
Text-to-video (T2V) models now produce striking visuals, yet they routinely violate everyday physics; objects float, tools are misused, and causal sequences break down. Existing benchmarks mostly probe isolated physical laws and rely on vision-language models to score videos directly, which entangle
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