SOTAVerified

No-Reference Image Quality Assessment

An Image Quality Assessment approach where no reference image information is available to the model. Sometimes referred to as Blind Image Quality Assessment (BIQA).

Papers

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Showing 1–10 of 155 papers

TitleStatusHype
Language Integration in Fine-Tuning Multimodal Large Language Models for Image-Based Regression—0
DGIQA: Depth-guided Feature Attention and Refinement for Generalizable Image Quality AssessmentCode0
Exploring Semantic Feature Discrimination for Perceptual Image Super-Resolution and Opinion-Unaware No-Reference Image Quality AssessmentCode1
Cross-Domain Underwater Image Enhancement Guided by No-Reference Image Quality Assessment: A Transfer Learning Approach—0
IQPFR: An Image Quality Prior for Blind Face Restoration and Beyond—0
Backdoor Attacks against No-Reference Image Quality Assessment Models via a Scalable TriggerCode0
Light Field Image Quality Assessment With Auxiliary Learning Based on Depthwise and Anglewise Separable Convolutions—0
A No-Reference Medical Image Quality Assessment Method Based on Automated Distortion Recognition Technology: Application to Preprocessing in MRI-guided Radiotherapy—0
Dual-Representation Interaction Driven Image Quality Assessment with Restoration AssistanceCode0
Stochastic BIQA: Median Randomized Smoothing for Certified Blind Image Quality Assessment—0
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All datasetsKADID-10kCSIQTID2013UHD-IQAKonIQ-10kLIVESPAQ

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1RvTC (image-only)PLCC0.93—Unverified