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
A CNN-Based Blind Denoising Method for Endoscopic ImagesCode1
Blindly Assess Image Quality in the Wild Guided by a Self-Adaptive Hyper NetworkCode1
High Resolution Image Quality DatabaseCode1
Learning Generalizable Perceptual Representations for Data-Efficient No-Reference 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
AutoDIR: Automatic All-in-One Image Restoration with Latent DiffusionCode1
Image Quality Assessment using Contrastive LearningCode1
DP-IQA: Utilizing Diffusion Prior for Blind Image Quality Assessment in the WildCode1
Content-Variant Reference Image Quality Assessment via Knowledge DistillationCode1
Continual Learning for Blind Image Quality AssessmentCode1
AIM 2024 Challenge on UHD Blind Photo Quality AssessmentCode1
Diffusion Model Based Visual Compensation Guidance and Visual Difference Analysis for No-Reference Image Quality AssessmentCode1
Exploring Semantic Feature Discrimination for Perceptual Image Super-Resolution and Opinion-Unaware No-Reference Image Quality AssessmentCode1
KonIQ-10k: An ecologically valid database for deep learning of blind image quality assessmentCode1
MetaIQA: Deep Meta-learning for No-Reference Image Quality AssessmentCode1
Data-Efficient Image Quality Assessment with Attention-Panel DecoderCode1
Deep Feature Statistics Mapping for Generalized Screen Content Image Quality AssessmentCode1
Adaptive Image Quality Assessment via Teaching Large Multimodal Model to CompareCode1
Deep learning techniques for blind image super-resolution: A high-scale multi-domain perspective evaluationCode1
No-Reference Image Quality Assessment via Transformers, Relative Ranking, and Self-ConsistencyCode1
Blind Image Quality Assessment Based on Geometric Order LearningCode1
Generalizable No-Reference Image Quality Assessment via Deep Meta-learningCode1
Learning to Blindly Assess Image Quality in the Laboratory and WildCode1
Perceptual Attacks of No-Reference Image Quality Models with Human-in-the-LoopCode1
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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