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
PMT-IQA: Progressive Multi-task Learning for Blind Image Quality AssessmentCode0
KonX: Cross-Resolution Image Quality Assessment0
Universal Perturbation Attack on Differentiable No-Reference Image- and Video-Quality MetricsCode1
QMRNet: Quality Metric Regression for EO Image Quality Assessment and Super-ResolutionCode0
Perceptual Attacks of No-Reference Image Quality Models with Human-in-the-LoopCode1
Forgetting to Remember: A Scalable Incremental Learning Framework for Cross-Task Blind Image Quality AssessmentCode0
Deep Feature Statistics Mapping for Generalized Screen Content Image Quality AssessmentCode1
A Human Visual System Inspired No-Reference Image Quality Assessment Method Based on Local Feature DescriptorsCode0
REQA: Coarse-to-fine Assessment of Image Quality to Alleviate the Range EffectCode1
Exploring CLIP for Assessing the Look and Feel of ImagesCode2
No-Reference Quality Assessment of Authentically Distorted Images Based on Local and Global FeaturesCode0
Pixel-by-pixel Mean Opinion Score (pMOS) for No-Reference Image Quality Assessment0
Subjective Quality Assessment for Images Generated by Computer Graphics0
MSTRIQ: No Reference Image Quality Assessment Based on Swin Transformer with Multi-Stage Fusion0
Conformer and Blind Noisy Students for Improved Image Quality AssessmentCode1
MANIQA: Multi-dimension Attention Network for No-Reference Image Quality AssessmentCode2
UID2021: An Underwater Image Dataset for Evaluation of No-reference Quality Assessment MetricsCode0
Content-Variant Reference Image Quality Assessment via Knowledge DistillationCode1
BIQ2021: A Large-Scale Blind Image Quality Assessment Database0
3D Saliency guided Deep Quality predictor for No-Reference Stereoscopic ImagesCode0
No-Reference Image Quality Assessment with Convolutional Neural Networks and Decision FusionCode0
No-Reference Video Quality Assessment Based on Benford’s Law and Perceptual FeaturesCode0
Image Quality Assessment using Contrastive LearningCode1
Deep Superpixel-based Network for Blind Image Quality AssessmentCode0
Analysis of Benford’s Law for No-Reference Quality Assessment of Natural, Screen-Content, and Synthetic ImagesCode0
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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