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Dan-Qing Shi

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#artificial intelligence Preprint Oct 2026

Evaluating Visual Realism of AI-Generated Videos with Eye Tracking

The first computational method GazeEval is proposed to predict the perceived visual realism of AI-generated videos from eye-tracking data, which achieves 71.3% accuracy in prediction, providing evidence that eye tracking data carries informative signals about how people evaluate a video.

Dan-Qing Shi, Lan Jiang, Jake Lyons et al. · 0 citations

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