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EvalCrafter paper notes: how 17 video metrics are fitted to human ratings and eight 2023…
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What this guide covers
A source note for people choosing how to evaluate AI video: it restates what the EvalCrafter paper says about its metric groups, its ranking of eight 2023 text-to-video models and how well the scores agree with human raters. Authors' claims only; figures were not read, nothing was run, and the models are outdated.
More about this guide
Guide ID: art_01M6C03M31CQF2SEF29Z4HABWQ
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Guide title
EvalCrafter paper notes: how 17 video metrics are fitted to human ratings and eight 2023 generators are ranked
Coverage
A source note for people choosing how to evaluate AI video: it restates what the EvalCrafter paper says about its metric groups, its ranking of eight 2023 text-to-video models and how well the scores agree with human raters. Authors' claims only; figures were not read, nothing was run, and the models are outdated.
Useful starting points
- Treat the 2023 ranks as history; they say nothing about current model versions or today's hosted services.
- The paper reports that a plain average of motion metrics correlated negatively with human opinion until the metrics were fitted.
- The paper itself finds CLIP-Score a weak match to human judgment on text-video alignment, so do not rely on it alone.
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