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20232026
most citedExploring Rich Subjective Quality Information for Image Quality Assessment in the Wild

25 citations · 58 across the 21 of their papers we have counts for

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7 papers · 1 filter

cs.CV2024★ 25 cited

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…

cs.CV2024★ 5 cited

Assessing UHD Image Quality from Aesthetics, Distortions, and Saliency

Wei Sun, Weixia Zhang, Yuqin Cao +6

UHD images, typically with resolutions equal to or higher than 4K, pose a significant challenge for efficient image quality assessment (IQA) algorithms, as adopting full-resolution…

eess.IV2024★ 7 cited

AIM 2024 Challenge on Compressed Video Quality Assessment: Methods and Results

Maksim Smirnov, Aleksandr Gushchin, Anastasia Antsiferova +29

Video quality assessment (VQA) is a crucial task in the development of video compression standards, as it directly impacts the viewer experience. This paper presents the results of…

eess.IV2024★ 4 cited

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…

cs.CV2024

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…

cs.CV2024

AIS 2024 Challenge on Video Quality Assessment of User-Generated Content: Methods and Results

Marcos V. Conde, Saman Zadtootaghaj, Nabajeet Barman +33

This paper reviews the AIS 2024 Video Quality Assessment (VQA) Challenge, focused on User-Generated Content (UGC). The aim of this challenge is to gather deep learning-based method…

cs.CV2024

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…