DIVA-VQA selects high-difference patches between consecutive frames and uses SlowFast plus SwinT features to predict UGC video quality, reporting competitive state-of-the-art correlations and low runtime.
Toward a practical perceptual video quality metric,
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DIVA-VQA: Detecting Inter-frame Variations in UGC Video Quality
DIVA-VQA selects high-difference patches between consecutive frames and uses SlowFast plus SwinT features to predict UGC video quality, reporting competitive state-of-the-art correlations and low runtime.