-
AIGCIQA2023
AIGCIQA2023: A large-scale image quality assessment database for AI-generated images: from the perspectives of quality, authenticity and correspondence -
Robust statistics and no-reference image quality assessment in Curvelet domain
This paper uses robust statistics and curvelet transform to learn a general-purpose no-reference (NR) image quality assessment (IQA) model. -
Training-Free Synthesized Face Sketch Recognition
Face sketch synthesis has wide applications ranging from digital entertainments to law enforcements. Objective image quality assessment scores and face recognition accuracy are... -
Waterloo Exploration Database
The Waterloo Exploration Database is a large-scale dataset for testing the generalization performance of image quality assessment models. -
OCTA-25K-IQA-SEG dataset
The OCTA-25K-IQA-SEG dataset for image quality assessment -
Zerman2017 and UPIQ
Four publicly available HDR-IQA datasets are adopted for benchmarking: Narwaria2013, Valenzise2014, Zerman2017, and UPIQ. -
Valenzise2014, Zerman2017, and UPIQ
Four publicly available HDR-IQA datasets are adopted for benchmarking: Narwaria2013, Valenzise2014, Zerman2017, and UPIQ. -
Narwaria2013, Valenzise2014, Zerman2017, and UPIQ
Four publicly available HDR-IQA datasets are adopted for benchmarking: Narwaria2013, Valenzise2014, Zerman2017, and UPIQ. -
TID2013 Database
The TID2013 database contains 3000 distorted images generated by applying 24 distortion operations at 5 levels to 25 pristine images. -
TID2008 Database
The dataset used for blind image quality assessment -
CSIQ Database
The CSIQ database contains 866 distorted images generated by applying 5 distortion operations at 3 ∼ 5 levels to 30 pristine images. -
LIVE Image Quality Assessment Database
The dataset used for blind image quality assessment
