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 101150 of 155 papers

TitleStatusHype
No-Reference Image Quality Assessment via Transformers, Relative Ranking, and Self-ConsistencyCode1
No-Reference Image Quality Assessment by Hallucinating Pristine FeaturesCode1
Task-Specific Normalization for Continual Learning of Blind Image Quality ModelsCode0
Semi-Supervised Deep Ensembles for Blind Image Quality AssessmentCode0
Deep Perceptual Preprocessing for Video Coding0
Generalizable No-Reference Image Quality Assessment via Deep Meta-learningCode1
Perceptual Image Restoration with High-Quality Priori and Degradation Learning0
Continual Learning for Blind Image Quality AssessmentCode1
No-Reference Image Quality Assessment with Global Statistical FeaturesCode1
No-reference Stereoscopic Image Quality Predictor using Deep Features from Cyclopean ImageCode0
Point Cloud Quality Assessment: Dataset Construction and Learning-based No-Reference MetricCode1
Multi-pooled Inception features for no-reference image quality assessmentCode0
Comprehensive evaluation of no-reference image quality assessment algorithms on authentic distortions0
Comprehensive evaluation of no-reference image quality assessment algorithms on KADID-10k database0
Painting Outside as Inside: Edge Guided Image Outpainting via Bidirectional Rearrangement with Progressive Step Learning0
Multi-task deep CNN model for no-reference image quality assessment on smartphone camera photos0
Norm-in-Norm Loss with Faster Convergence and Better Performance for Image Quality AssessmentCode1
No-Reference Image Quality Assessment Based on the Fusion of Statistical and Perceptual FeaturesCode0
No-Reference Image Quality Assessment via Feature Fusion and Multi-Task Learning0
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
SER-FIQ: Unsupervised Estimation of Face Image Quality Based on Stochastic Embedding RobustnessCode1
A CNN-Based Blind Denoising Method for Endoscopic ImagesCode1
Evaluation of Rounding Functions in Nearest-Neighbor Interpolation0
Adaboost Neural Network And Cyclopean View For No-reference Stereoscopic Image Quality AssessmentCode0
DeepFL-IQA: Weak Supervision for Deep IQA Feature LearningCode0
From Patches to Pictures (PaQ-2-PiQ): Mapping the Perceptual Space of Picture QualityCode0
Potential of deep features for opinion-unaware, distortion-unaware, no-reference image quality assessmentCode0
Controllable List-wise Ranking for Universal No-reference Image Quality AssessmentCode0
Quality Aware Generative Adversarial NetworksCode0
Domain Fingerprints for No-reference Image Quality Assessment0
KonIQ-10k: An ecologically valid database for deep learning of blind image quality assessmentCode1
Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural NetworkCode0
Learning to Blindly Assess Image Quality in the Laboratory and WildCode1
No-Reference Quality Assessment of Contrast-Distorted Images using Contrast EnhancementCode0
Robust statistics and no-reference image quality assessment in Curvelet domainCode0
No reference image quality assessment metric based on regional mutual information among images0
No-Reference Color Image Quality Assessment: From Entropy to Perceptual QualityCode1
Exploiting High-Level Semantics for No-Reference Image Quality Assessment of Realistic Blur ImagesCode0
Which Has Better Visual Quality: The Clear Blue Sky or a Blurry Animal?Code0
Blind Document Image Quality Prediction Based on Modification of Quality Aware Clustering Method Integrating a Patch Selection Strategy0
Hallucinated-IQA: No-Reference Image Quality Assessment via Adversarial Learning0
RAN4IQA: Restorative Adversarial Nets for No-Reference Image Quality Assessment0
A Probabilistic Quality Representation Approach to Deep Blind Image Quality PredictionCode0
RankIQA: Learning from Rankings for No-reference Image Quality AssessmentCode0
An Attention-Driven Approach of No-Reference Image Quality Assessment0
Deep Quality: A Deep No-reference Quality Assessment System0
MUG: A Parameterless No-Reference JPEG Quality Evaluator Robust to Block Size and Misalignment0
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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