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NR-IQA

To avoid duplication and fragmentation, use the No-Reference Image Quality Assessment (NR-IQA) task.

Papers

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Showing 26–50 of 50 papers

TitleStatusHype
Black-box Adversarial Attacks Against Image Quality Assessment Models—0
Diffusion Model Based Visual Compensation Guidance and Visual Difference Analysis for No-Reference Image Quality AssessmentCode1
Exploring Vulnerabilities of No-Reference Image Quality Assessment Models: A Query-Based Black-Box Method—0
Adaptive Feature Selection for No-Reference Image Quality Assessment by Mitigating Semantic Noise Sensitivity—0
Less is More: Learning Reference Knowledge Using No-Reference Image Quality Assessment—0
Interpretable Image Quality Assessment via CLIP with Multiple Antonym-Prompt Pairs—0
JNDMix: JND-Based Data Augmentation for No-reference Image Quality Assessment—0
StyleAM: Perception-Oriented Unsupervised Domain Adaption for Non-reference Image Quality Assessment—0
Subjective Quality Assessment for Images Generated by Computer Graphics—0
ER-IQA: Boosting Perceptual Quality Assessment Using External Reference Images—0
Perceptual Image Restoration with High-Quality Priori and Degradation Learning—0
Comprehensive evaluation of no-reference image quality assessment algorithms on authentic distortions—0
Multi-task deep CNN model for no-reference image quality assessment on smartphone camera photos—0
No-Reference Image Quality Assessment via Feature Fusion and Multi-Task Learning—0
Domain Fingerprints for No-reference Image Quality Assessment—0
Learning a No-Reference Quality Assessment Model of Enhanced Images With Big Data—0
Deep Optimization model for Screen Content Image Quality Assessment using Neural Networks—0
Hallucinated-IQA: No-Reference Image Quality Assessment via Adversarial Learning—0
RAN4IQA: Restorative Adversarial Nets for No-Reference Image Quality Assessment—0
An Attention-Driven Approach of No-Reference Image Quality Assessment—0
MUG: A Parameterless No-Reference JPEG Quality Evaluator Robust to Block Size and Misalignment—0
Comparison-based Image Quality Assessment for Parameter Selection—0
SOM: Semantic Obviousness Metric for Image Quality Assessment—0
Quality Assessment for Comparing Image Enhancement Algorithms—0
Real-Time No-Reference Image Quality Assessment Based on Filter Learning—0
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