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

Showing 101125 of 155 papers

TitleStatusHype
Multi-task deep CNN model for no-reference image quality assessment on smartphone camera photos0
Multi-task Feature Enhancement Network for No-Reference Image Quality Assessment0
Music Data Analysis: A State-of-the-art Survey0
Adaptive Feature Selection for No-Reference Image Quality Assessment by Mitigating Semantic Noise Sensitivity0
No reference image quality assessment metric based on regional mutual information among images0
No-Reference Image Quality Assessment via Feature Fusion and Multi-Task Learning0
Can No-Reference Quality-Assessment Methods Serve as Perceptual Losses for Super-Resolution?0
Which Has Better Visual Quality: The Clear Blue Sky or a Blurry Animal?Code0
Adaboost Neural Network And Cyclopean View For No-reference Stereoscopic Image Quality AssessmentCode0
A Human Visual System Inspired No-Reference Image Quality Assessment Method Based on Local Feature DescriptorsCode0
Analysis of Benford’s Law for No-Reference Quality Assessment of Natural, Screen-Content, and Synthetic ImagesCode0
A Probabilistic Quality Representation Approach to Deep Blind Image Quality PredictionCode0
Attention Down-Sampling Transformer, Relative Ranking and Self-Consistency for Blind Image Quality AssessmentCode0
Backdoor Attacks against No-Reference Image Quality Assessment Models via a Scalable TriggerCode0
Blind Image Quality Assessment: A Fuzzy Neural Network for Opinion Score Distribution PredictionCode0
Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural NetworkCode0
Collaborative Auto-encoding for Blind Image Quality AssessmentCode0
Controllable List-wise Ranking for Universal No-reference Image Quality AssessmentCode0
DeepFL-IQA: Weak Supervision for Deep IQA Feature LearningCode0
Deep Superpixel-based Network for Blind Image Quality AssessmentCode0
DGIQA: Depth-guided Feature Attention and Refinement for Generalizable Image Quality AssessmentCode0
DSMix: Distortion-Induced Sensitivity Map Based Pre-training for No-Reference Image Quality AssessmentCode0
Dual-Representation Interaction Driven Image Quality Assessment with Restoration AssistanceCode0
Exploiting High-Level Semantics for No-Reference Image Quality Assessment of Realistic Blur ImagesCode0
Fast Adversarial CNN-based Perturbation Attack of No-Reference Image Quality MetricsCode0
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Benchmark Results

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