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 2650 of 155 papers

TitleStatusHype
On the Effectiveness of Spectral Discriminators for Perceptual Quality ImprovementCode1
Self2Self+: Single-Image Denoising with Self-Supervised Learning and Image Quality Assessment LossCode1
Deep learning techniques for blind image super-resolution: A high-scale multi-domain perspective evaluationCode1
Blind Image Quality Assessment via Transformer Predicted Error Map and Perceptual Quality TokenCode1
Data-Efficient Image Quality Assessment with Attention-Panel DecoderCode1
Re-IQA: Unsupervised Learning for Image Quality Assessment in the WildCode1
Contrastive Semi-supervised Learning for Underwater Image Restoration via Reliable BankCode1
Universal Perturbation Attack on Differentiable No-Reference Image- and Video-Quality MetricsCode1
Perceptual Attacks of No-Reference Image Quality Models with Human-in-the-LoopCode1
Deep Feature Statistics Mapping for Generalized Screen Content Image Quality AssessmentCode1
REQA: Coarse-to-fine Assessment of Image Quality to Alleviate the Range EffectCode1
Conformer and Blind Noisy Students for Improved Image Quality AssessmentCode1
Content-Variant Reference Image Quality Assessment via Knowledge DistillationCode1
Image Quality Assessment using Contrastive LearningCode1
No-Reference Image Quality Assessment via Transformers, Relative Ranking, and Self-ConsistencyCode1
No-Reference Image Quality Assessment by Hallucinating Pristine FeaturesCode1
Generalizable No-Reference Image Quality Assessment via Deep Meta-learningCode1
Continual Learning for Blind Image Quality AssessmentCode1
No-Reference Image Quality Assessment with Global Statistical FeaturesCode1
Point Cloud Quality Assessment: Dataset Construction and Learning-based No-Reference MetricCode1
Norm-in-Norm Loss with Faster Convergence and Better Performance for Image Quality AssessmentCode1
Perceptual Quality Assessment of Smartphone PhotographyCode1
Blindly Assess Image Quality in the Wild Guided by a Self-Adaptive Hyper NetworkCode1
Uncertainty-Aware Blind Image Quality Assessment in the Laboratory and WildCode1
MetaIQA: Deep Meta-learning for No-Reference Image Quality AssessmentCode1
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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