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
Less is More: Learning Reference Knowledge Using No-Reference Image Quality Assessment0
PKU-I2IQA: An Image-to-Image Quality Assessment Database for AI Generated ImagesCode1
VCISR: Blind Single Image Super-Resolution with Video Compression Synthetic DataCode1
ARNIQA: Learning Distortion Manifold for Image Quality AssessmentCode1
AutoDIR: Automatic All-in-One Image Restoration with Latent DiffusionCode1
You Only Train Once: A Unified Framework for Both Full-Reference and No-Reference Image Quality AssessmentCode0
Interpretable Image Quality Assessment via CLIP with Multiple Antonym-Prompt Pairs0
TOPIQ: A Top-down Approach from Semantics to Distortions for Image Quality AssessmentCode4
Test Time Adaptation for Blind Image Quality AssessmentCode0
Analysis of Video Quality Datasets via Design of Minimalistic Video Quality ModelsCode1
On the Effectiveness of Spectral Discriminators for Perceptual Quality ImprovementCode1
Self2Self+: Single-Image Denoising with Self-Supervised Learning and Image Quality Assessment LossCode1
Regression-free Blind Image Quality Assessment with Content-Distortion Consistency0
Blind Image Quality Assessment: A Fuzzy Neural Network for Opinion Score Distribution PredictionCode0
Deep learning techniques for blind image super-resolution: A high-scale multi-domain perspective evaluationCode1
Collaborative Auto-encoding for Blind Image Quality AssessmentCode0
MAMIQA: No-Reference Image Quality Assessment Based on Multiscale Attention Mechanism With Natural Scene StatisticsCode0
Blind Image Quality Assessment via Transformer Predicted Error Map and Perceptual Quality TokenCode1
Fast Adversarial CNN-based Perturbation Attack of No-Reference Image Quality MetricsCode0
Data-Efficient Image Quality Assessment with Attention-Panel DecoderCode1
Re-IQA: Unsupervised Learning for Image Quality Assessment in the WildCode1
Blind Image Quality Assessment via Vision-Language Correspondence: A Multitask Learning PerspectiveCode2
Contrastive Semi-supervised Learning for Underwater Image Restoration via Reliable BankCode1
Subjective and Objective Quality Assessment for in-the-Wild Computer Graphics ImagesCode0
JNDMix: JND-Based Data Augmentation for No-reference Image Quality Assessment0
Show:102550
← PrevPage 3 of 7Next →

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