33 citations · 71 across the 21 of their papers we have counts for
5 papers · 1 filter
Exploring Rich Subjective Quality Information for Image Quality Assessment in the Wild
Xiongkuo Min, Yixuan Gao, Yuqin Cao +4
Traditional in the wild image quality assessment (IQA) models are generally trained with the quality labels of mean opinion score (MOS), while missing the rich subjective quality i…
UNQA: Unified No-Reference Quality Assessment for Audio, Image, Video, and Audio-Visual Content
Yuqin Cao, Xiongkuo Min, Yixuan Gao +3
As multimedia data flourishes on the Internet, quality assessment (QA) of multimedia data becomes paramount for digital media applications. Since multimedia data includes multiple…
Light-VQA+: A Video Quality Assessment Model for Exposure Correction with Vision-Language Guidance
Xunchu Zhou, Xiaohong Liu, Yunlong Dong +6
Recently, User-Generated Content (UGC) videos have gained popularity in our daily lives. However, UGC videos often suffer from poor exposure due to the limitations of photographic…
NTIRE 2024 Quality Assessment of AI-Generated Content Challenge
Xiaohong Liu, Xiongkuo Min, Guangtao Zhai +111
This paper reports on the NTIRE 2024 Quality Assessment of AI-Generated Content Challenge, which will be held in conjunction with the New Trends in Image Restoration and Enhancemen…
AIGIQA-20K: A Large Database for AI-Generated Image Quality Assessment
Chunyi Li, Tengchuan Kou, Yixuan Gao +10
With the rapid advancements in AI-Generated Content (AIGC), AI-Generated Images (AIGIs) have been widely applied in entertainment, education, and social media. However, due to the…