MSA-VQA combines CLIP-based prompt checking with cross-attention over frames to predict human quality scores for AI-generated videos, reporting state-of-the-art numbers on the T2VQA-DB benchmark.
Shortform ugc video quality assessment based on multi-level video fusion with rank-aware,
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Multilevel Semantic-Aware Model for AI-Generated Video Quality Assessment
MSA-VQA combines CLIP-based prompt checking with cross-attention over frames to predict human quality scores for AI-generated videos, reporting state-of-the-art numbers on the T2VQA-DB benchmark.