Subjective-Aligned Dateset and Metric for Text-to-Video Quality Assessment

arXiv:2403.11956v1 Announce Type: new
Abstract: With the rapid development of generative models, Artificial Intelligence-Generated Contents (AIGC) have exponentially increased in daily lives. Among them, Text-to-Video (T2V) generation has received widespread attention. Though many T2V models have been released for generating high perceptual quality videos, there is still lack of a method to evaluate the quality of these videos quantitatively. To solve this issue, we establish the largest-scale Text-to-Video Quality Assessment DataBase (T2VQA-DB) to date. The dataset is composed of 10,000 …

arxiv assessment cs.cv quality text text-to-video type video video quality