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📷 CVPR2025 · 1 paper notes

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FineVQ: Fine-Grained User Generated Content Video Quality Assessment

This work constructs the first large-scale, fine-grained UGC video quality assessment database, FineVD (6,104 videos, 800k+ ratings, 6 dimensions), and proposes FineVQ, an LMM-based approach. FineVQ enables a single model to simultaneously perform quality rating, scoring, and attribution, achieving state-of-the-art performance on FineVD and other UGC-VQA datasets.