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 5175 of 155 papers

TitleStatusHype
Diffusion Model Based Visual Compensation Guidance and Visual Difference Analysis for No-Reference Image Quality AssessmentCode1
Blind Image Quality Assessment via Transformer Predicted Error Map and Perceptual Quality TokenCode1
Re-IQA: Unsupervised Learning for Image Quality Assessment in the WildCode1
DP-IQA: Utilizing Diffusion Prior for Blind Image Quality Assessment in the WildCode1
Transformer-based No-Reference Image Quality Assessment via Supervised Contrastive LearningCode1
Fast Adversarial CNN-based Perturbation Attack of No-Reference Image Quality MetricsCode0
Collaborative Auto-encoding for Blind Image Quality AssessmentCode0
Exploiting High-Level Semantics for No-Reference Image Quality Assessment of Realistic Blur ImagesCode0
A Probabilistic Quality Representation Approach to Deep Blind Image Quality PredictionCode0
Dual-Representation Interaction Driven Image Quality Assessment with Restoration AssistanceCode0
A Human Visual System Inspired No-Reference Image Quality Assessment Method Based on Local Feature DescriptorsCode0
Forgetting to Remember: A Scalable Incremental Learning Framework for Cross-Task Blind Image Quality AssessmentCode0
Opinion-Unaware Blind Image Quality Assessment using Multi-Scale Deep Feature StatisticsCode0
DSMix: Distortion-Induced Sensitivity Map Based Pre-training for No-Reference Image Quality AssessmentCode0
No-Reference Video Quality Assessment Based on Benford’s Law and Perceptual FeaturesCode0
DGIQA: Depth-guided Feature Attention and Refinement for Generalizable Image Quality AssessmentCode0
Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural NetworkCode0
Deep Superpixel-based Network for Blind Image Quality AssessmentCode0
Adaboost Neural Network And Cyclopean View For No-reference Stereoscopic Image Quality AssessmentCode0
No-reference Stereoscopic Image Quality Predictor using Deep Features from Cyclopean ImageCode0
Blind Image Quality Assessment: A Fuzzy Neural Network for Opinion Score Distribution PredictionCode0
DeepFL-IQA: Weak Supervision for Deep IQA Feature LearningCode0
No-Reference Image Quality Assessment with Convolutional Neural Networks and Decision FusionCode0
3D Saliency guided Deep Quality predictor for No-Reference Stereoscopic ImagesCode0
No-Reference Image Quality Assessment in the Spatial DomainCode0
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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