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We introduce TDVE-DB, the largest and most comprehensive benchmark dataset for text-driven video editing quality assessment, featuring 3,857 edited videos from 12 models across 8 editing categories, annotated with 173,565 human subjective ratings.
(a) Acquisition of the source video. (b) Generation of prompt words. (c) Obtaining 170K subjective scores through subjective experiments. (d) The number of videos for different models and different editing categories. (e) Three-dimensional scatter plot of subjective scores.
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