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 1–50 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
Light Field Image Quality Assessment With Auxiliary Learning Based on Depthwise and Anglewise Separable Convolutions—0
Backdoor Attacks against No-Reference Image Quality Assessment Models via a Scalable TriggerCode0
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
SEAGULL: No-reference Image Quality Assessment for Regions of Interest via Vision-Language Instruction TuningCode2
A Novel Automatic Real-time Motion Tracking Method for Magnetic Resonance Imaging-guided Radiotherapy: Leveraging the Enhanced Tracking-Learning-Detection Framework with Automatic Segmentation—0
Multi-task Feature Enhancement Network for No-Reference Image Quality Assessment—0
AIM 2024 Challenge on UHD Blind Photo Quality AssessmentCode1
Attention Down-Sampling Transformer, Relative Ranking and Self-Consistency for Blind Image Quality AssessmentCode0
MobileIQA: Exploiting Mobile-level Diverse Opinion Network For No-Reference Image Quality Assessment Using Knowledge DistillationCode1
LAR-IQA: A Lightweight, Accurate, and Robust No-Reference Image Quality Assessment ModelCode2
MSLIQA: Enhancing Learning Representations for Image Quality Assessment through Multi-Scale Learning—0
A Deep-Learning-Based Label-free No-Reference Image Quality Assessment Metric: Application in Sodium MRI Denoising—0
No-Reference Image Quality Assessment with Global-Local Progressive Integration and Semantic-Aligned Quality TransferCode0
DSMix: Distortion-Induced Sensitivity Map Based Pre-training for No-Reference Image Quality AssessmentCode0
Local Manifold Learning for No-Reference Image Quality Assessment—0
UHD-IQA Benchmark Database: Pushing the Boundaries of Blind Photo Quality AssessmentCode0
Rank-based No-reference Quality Assessment for Face Swapping—0
ATTIQA: Generalizable Image Quality Feature Extractor using Attribute-aware Pretraining—0
Can No-Reference Quality-Assessment Methods Serve as Perceptual Losses for Super-Resolution?—0
DP-IQA: Utilizing Diffusion Prior for Blind Image Quality Assessment in the WildCode1
Opinion-Unaware Blind Image Quality Assessment using Multi-Scale Deep Feature StatisticsCode0
Adaptive Image Quality Assessment via Teaching Large Multimodal Model to CompareCode1
How Quality Affects Deep Neural Networks in Fine-Grained Image Classification—0
Cross-IQA: Unsupervised Learning for Image Quality Assessment—0
Image Quality Assessment With Compressed Sampling—0
Multi-Modal Prompt Learning on Blind Image Quality AssessmentCode0
Beyond Score Changes: Adversarial Attack on No-Reference Image Quality Assessment from Two Perspectives—0
Defense Against Adversarial Attacks on No-Reference Image Quality Models with Gradient Norm RegularizationCode1
Quality-Aware Image-Text Alignment for Real-World Image Quality AssessmentCode0
Pairwise Comparisons Are All You NeedCode2
When No-Reference Image Quality Models Meet MAP Estimation in Diffusion Latents—0
PromptIQA: Boosting the Performance and Generalization for No-Reference Image Quality Assessment via PromptsCode1
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
High Resolution Image Quality DatabaseCode1
GMC-IQA: Exploiting Global-correlation and Mean-opinion Consistency for No-reference Image Quality Assessment—0
Exploring Vulnerabilities of No-Reference Image Quality Assessment Models: A Query-Based Black-Box Method—0
Blind Image Quality Assessment Based on Geometric Order LearningCode1
Towards adversarial robustness verification of no-reference image-and video-quality metricsCode0
Transformer-based No-Reference Image Quality Assessment via Supervised Contrastive LearningCode1
Adaptive Feature Selection for No-Reference Image Quality Assessment by Mitigating Semantic Noise Sensitivity—0
UIEDP:Underwater Image Enhancement with Diffusion PriorCode1
Learning Generalizable Perceptual Representations for Data-Efficient No-Reference Image Quality AssessmentCode1
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All datasetsKADID-10kCSIQTID2013UHD-IQAKonIQ-10kLIVESPAQ

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1RvTC (image-only)SRCC0.98—Unverified
2UNIQASRCC0.94—Unverified
3CONTRIQUESRCC0.93—Unverified
4ARNIQASRCC0.91—Unverified
5Re-IQASRCC0.87—Unverified
6TReSSRCC0.86—Unverified
7HyperIQASRCC0.85—Unverified
8DB-CNNSRCC0.85—Unverified
9BRISQUESRCC0.53—Unverified
#ModelMetricClaimedVerifiedStatus
1UNIQASRCC0.96—Unverified
2ARNIQASRCC0.96—Unverified
3Re-IQASRCC0.95—Unverified
4DB-CNNSRCC0.95—Unverified
5CONTRIQUESRCC0.94—Unverified
6HyperIQASRCC0.92—Unverified
7TReSSRCC0.92—Unverified
8BRISQUESRCC0.75—Unverified
#ModelMetricClaimedVerifiedStatus
1UNIQASRCC0.95—Unverified
2ARNIQASRCC0.88—Unverified
3TReSSRCC0.86—Unverified
4CONTRIQUESRCC0.84—Unverified
5HyperIQASRCC0.84—Unverified
6DB-CNNSRCC0.82—Unverified
7Re-IQASRCC0.8—Unverified
8BRISQUESRCC0.6—Unverified
#ModelMetricClaimedVerifiedStatus
1LAR-IQA (KAN head)SRCC0.84—Unverified
2QualiCLIPSRCC0.77—Unverified
3CLIP-IQA+SRCC0.75—Unverified
4ARNIQASRCC0.74—Unverified
5CONTRIQUESRCC0.73—Unverified
6Effnet-2C-MLSPSRCC0.68—Unverified
7HyperIQASRCC0.55—Unverified
#ModelMetricClaimedVerifiedStatus
1RvTC (image-only)PLCC0.95—Unverified
#ModelMetricClaimedVerifiedStatus
1UNIQASRCC0.99—Unverified
#ModelMetricClaimedVerifiedStatus
1RvTC (image-only)PLCC0.93—Unverified