7 papers
Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging
Zhichao Yang, Tianjiao Gu, Zhixianhe Zhang +3
Personalized Image Aesthetic Assessment (PIAA) aims to predict aesthetic ratings of images that vary across individuals. The aesthetic preferences manifest to different extents acr…
Fine-grained Image Quality Assessment for Perceptual Image Restoration
Xiangfei Sheng, Xiaofeng Pan, Zhichao Yang +2
Recent years have witnessed remarkable achievements in perceptual image restoration (IR), creating an urgent demand for accurate image quality assessment (IQA), which is essential…
Fine-grained Image Aesthetic Assessment: Learning Discriminative Scores from Relative Ranks
Zhichao Yang, Jianjie Wang, Zhixianhe Zhang +4
Image aesthetic assessment (IAA) has extensive applications in content creation, album management, and recommendation systems, etc. In such applications, it is commonly needed to p…
Towards Syn-to-Real IQA: A Novel Perspective on Reshaping Synthetic Data Distributions
Aobo Li, Jinjian Wu, Yongxu Liu +2
Blind Image Quality Assessment (BIQA) has advanced significantly through deep learning, but the scarcity of large-scale labeled datasets remains a challenge. While synthetic data o…
LongT2IBench: A Benchmark for Evaluating Long Text-to-Image Generation with Graph-structured Annotations
Zhichao Yang, Tianjiao Gu, Jianjie Wang +4
The increasing popularity of long Text-to-Image (T2I) generation has created an urgent need for automatic and interpretable models that can evaluate the image-text alignment in lon…
TuningIQA: Fine-Grained Blind Image Quality Assessment for Livestreaming Camera Tuning
Xiangfei Sheng, Zhichao Duan, Xiaofeng Pan +4
Livestreaming has become increasingly prevalent in modern visual communication, where automatic camera quality tuning is essential for delivering superior user Quality of Experienc…