SOTAVerified

Full reference image quality assessment

The goal is to calculate an objective quality score for a given (potentially) distorted image given its reference (potentially) pristine quality image is available. Training-free metrics are listed.

Papers

Showing 125 of 50 papers

TitleStatusHype
Toward Generalized Image Quality Assessment: Relaxing the Perfect Reference Quality AssumptionCode2
Mean Deviation Similarity Index: Efficient and Reliable Full-Reference Image Quality EvaluatorCode2
Sliced Maximal Information Coefficient: A Training-Free Approach for Image Quality Assessment EnhancementCode1
PKU-I2IQA: An Image-to-Image Quality Assessment Database for AI Generated ImagesCode1
The Unreasonable Effectiveness of Linear Prediction as a Perceptual MetricCode1
SwinIQA: Learned Swin Distance for Compressed Image Quality AssessmentCode1
Perceptual Image Quality Assessment with TransformersCode1
A combined full-reference image quality assessment approach based on convolutional activation mapsCode1
Deep Learning of Human Visual Sensitivity in Image Quality Assessment FrameworkCode1
Digital twins enable full-reference quality assessment of photoacoustic image reconstructions0
Perceptual Error Logarithm: An Efficient and Effective Analytical Method for Full-Reference Image Quality Assessment0
BELE: Blur Equivalent Linearized Estimator0
Image Quality Assessment: Investigating Causal Perceptual Effects with Abductive Counterfactual Inference0
Image Quality Assessment: Enhancing Perceptual Exploration and Interpretation with Collaborative Feature Refinement and Hausdorff distance0
Foundation Models Boost Low-Level Perceptual Similarity MetricsCode0
A study of why we need to reassess full reference image quality assessment with medical images0
Perceptual Quality Assessment for Video Frame Interpolation0
Image Quality Assessment with Gradient Siamese Network0
Saliency-Guided Local Full-Reference Image Quality AssessmentCode0
Perceptual Quality Assessment for Fine-Grained Compressed Images0
Incorporating Semi-Supervised and Positive-Unlabeled Learning for Boosting Full Reference Image Quality Assessment0
Locally Adaptive Structure and Texture Similarity for Image Quality Assessment0
A survey on IQA0
Subjective Image Quality Assessment with Boosted Triplet Comparisons0
A Shift-insensitive Full Reference Image Quality Assessment Model Based on Quadratic Sum of Gradient Magnitude and LOG signals0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1MDSISRCC0.92Unverified
2HaarPSISRCC0.91Unverified
3IQA MetricSRCC0.9Unverified
4VSISRCC0.9Unverified
5SR-SIMSRCC0.89Unverified
6GMSDSRCC0.89Unverified
7FSIMcSRCC0.88Unverified
8SFFSRCC0.88Unverified
9IW-SSIMSRCC0.86Unverified
10MS-SSIMSRCC0.85Unverified
#ModelMetricClaimedVerifiedStatus
1MDSISRCC0.88Unverified
2SR-SIMSRCC0.88Unverified
3FSIMcSRCC0.88Unverified
4VSISRCC0.87Unverified
5MADSRCC0.86Unverified
6HaarPSISRCC0.85Unverified
7IW-SSIMSRCC0.83Unverified
8GMSDSRCC0.82Unverified
9SFFSRCC0.81Unverified
10VIFSRCC0.75Unverified
#ModelMetricClaimedVerifiedStatus
1MDSISRCC0.89Unverified
2HaarPSISRCC0.88Unverified
3VSISRCC0.88Unverified
4PELSRCC0.88Unverified
5FSIMcSRCC0.85Unverified
6GMSDSRCC0.85Unverified
7SR-SIMSRCC0.84Unverified
8FSIMSRCC0.83Unverified
9MS-SSIMSRCC0.8Unverified
10VIFSRCC0.65Unverified
#ModelMetricClaimedVerifiedStatus
1MDSISRCC0.85Unverified
2SFFSRCC0.83Unverified
3VSISRCC0.82Unverified
4VIFSRCC0.81Unverified
5GMSDSRCC0.78Unverified
6FSIMcSRCC0.78Unverified
7SR-SIMSRCC0.76Unverified
8IW-SSIMSRCC0.69Unverified
9MADSRCC0.69Unverified
10MS-SSIMSRCC0.67Unverified