  This paper reviews the NTIRE 2024 Challenge on Shortform UGC Video Quality
Assessment (S-UGC VQA), where various excellent solutions are submitted and
evaluated on the collected dataset KVQ from popular short-form video platform,
i.e., Kuaishou/Kwai Platform. The KVQ database is divided into three parts,
including 2926 videos for training, 420 videos for validation, and 854 videos
for testing. The purpose is to build new benchmarks and advance the development
of S-UGC VQA. The competition had 200 participants and 13 teams submitted valid
solutions for the final testing phase. The proposed solutions achieved
state-of-the-art performances for S-UGC VQA. The project can be found at
https://github.com/lixinustc/KVQChallenge-CVPR-NTIRE2024.
