Lune

CVPR2025Top-tier venue

FineVQ: Fine-Grained User Generated Content Video Quality Assessment

Huiyu Duan, Qiang Hu, Jiarui Wang, Liu Yang, Zitong Xu, Lu Liu, Xiongkuo Min, Chunlei Cai, Tianxiao Ye, Xiaoyun Zhang, Guangtao Zhai

2025Year
19Top-tier citations

Abstract

ity attribution. Extensive experimental results demonstrate that our proposed FineVQ can produce fine-grained video-quality results and achieve state-of-the-art performance on FineVD and other commonly used UGC-VQA datasets. Both FineVD and FineVQ are publicly available at: https://github.com/IntMeGroup/FineVQ .

Ask about this paper

Your agent reads all of it.

Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.

Questions to start from

Your agent calls

Luneget_paper_fulltext

Ask in Lune

Free to start. No credit card required.

lune papers fulltext 993fd53f-ee5a-4b8c-b933-9ea32bf138dc

Cited by top-tier papers19

Ask how each one uses it

Builds on30

Related papers

Dusk over the sea between two cliffs drawn in fine vertical lines