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 76100 of 155 papers

TitleStatusHype
No-Reference Image Quality Assessment with Global-Local Progressive Integration and Semantic-Aligned Quality TransferCode0
MAMIQA: No-Reference Image Quality Assessment Based on Multiscale Attention Mechanism With Natural Scene StatisticsCode0
Multi-Modal Prompt Learning on Blind Image Quality AssessmentCode0
Multi-pooled Inception features for no-reference image quality assessmentCode0
No-Reference Image Quality Assessment Based on the Fusion of Statistical and Perceptual FeaturesCode0
No-Reference Image Quality Assessment in the Spatial DomainCode0
No-Reference Image Quality Assessment with Convolutional Neural Networks and Decision FusionCode0
No-Reference Quality Assessment of Authentically Distorted Images Based on Local and Global FeaturesCode0
No-Reference Quality Assessment of Contrast-Distorted Images using Contrast EnhancementCode0
No-reference Stereoscopic Image Quality Predictor using Deep Features from Cyclopean ImageCode0
No-Reference Video Quality Assessment Based on Benford’s Law and Perceptual FeaturesCode0
Opinion-Unaware Blind Image Quality Assessment using Multi-Scale Deep Feature StatisticsCode0
PMT-IQA: Progressive Multi-task Learning for Blind Image Quality AssessmentCode0
Potential of deep features for opinion-unaware, distortion-unaware, no-reference image quality assessmentCode0
QMRNet: Quality Metric Regression for EO Image Quality Assessment and Super-ResolutionCode0
Quality Aware Generative Adversarial NetworksCode0
Quality-Aware Image-Text Alignment for Real-World Image Quality AssessmentCode0
RankIQA: Learning from Rankings for No-reference Image Quality AssessmentCode0
Robust statistics and no-reference image quality assessment in Curvelet domainCode0
Semi-Supervised Deep Ensembles for Blind Image Quality AssessmentCode0
Subjective and Objective Quality Assessment for in-the-Wild Computer Graphics ImagesCode0
Task-Specific Normalization for Continual Learning of Blind Image Quality ModelsCode0
Test Time Adaptation for Blind Image Quality AssessmentCode0
Towards adversarial robustness verification of no-reference image-and video-quality metricsCode0
UHD-IQA Benchmark Database: Pushing the Boundaries of Blind Photo Quality AssessmentCode0
Show:102550
← PrevPage 4 of 7Next →

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