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Image Quality Assessment

Papers

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Showing 676–700 of 732 papers

TitleStatusHype
Optimization-Based Improvement of Face Image Quality Assessment TechniquesCode0
Bridging the Synthetic-to-Authentic Gap: Distortion-Guided Unsupervised Domain Adaptation for Blind Image Quality AssessmentCode0
Attention Down-Sampling Transformer, Relative Ranking and Self-Consistency for Blind Image Quality AssessmentCode0
Parameter choices in HaarPSI for IQA with medical imagesCode0
Parametric PerceptNet: A bio-inspired deep-net trained for Image Quality AssessmentCode0
UID2021: An Underwater Image Dataset for Evaluation of No-reference Quality Assessment MetricsCode0
Semi-Supervised Deep Ensembles for Blind Image Quality AssessmentCode0
A Human Visual System Inspired No-Reference Image Quality Assessment Method Based on Local Feature DescriptorsCode0
Bridging the Gap Between Saliency Prediction and Image Quality AssessmentCode0
Perceptual Assessment and Optimization of HDR Image RenderingCode0
Explainability of the Implications of Supervised and Unsupervised Face Image Quality Estimations Through Activation Map Variation Analyses in Face Recognition ModelsCode0
A Generalised Deep Meta-Learning Model for Automated Quality Control of Cardiovascular Magnetic Resonance ImagesCode0
Perceptual Crack Detection for Rendered 3D Textured MeshesCode0
AdverX-Ray: Ensuring X-Ray Integrity Through Frequency-Sensitive Adversarial VAEsCode0
Perceptual-Distortion Balanced Image Super-Resolution is a Multi-Objective Optimization ProblemCode0
Boosting in Image Quality AssessmentCode0
Viewport-Unaware Blind Omnidirectional Image Quality Assessment: A Flexible and Effective ParadigmCode0
Adapting Pretrained Networks for Image Quality Assessment on High Dynamic Range DisplaysCode0
Empirical Study of Quality Image Assessment for Synthesis of Fetal Head Ultrasound Imaging with DCGANsCode0
You Only Train Once: A Unified Framework for Both Full-Reference and No-Reference Image Quality AssessmentCode0
Perceptual Quality Assessment for Embodied AICode0
A study on the adequacy of common IQA measures for medical imagesCode0
Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural NetworkCode0
Assessing Image Quality Using a Simple Generative RepresentationCode0
Perceptual Quality Assessment of 360^ Images Based on Generative Scanpath RepresentationCode0
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All datasetsMSU NR VQA DatabaseKonIQ-10kMSU FR VQA Database

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SPAQ MT-SSRCC0.88—Unverified
2SPAQ BLSRCC0.88—Unverified
3SPAQ MT-ASRCC0.88—Unverified
4KonCept512SRCC0.84—Unverified
5MEONSRCC0.51—Unverified
#ModelMetricClaimedVerifiedStatus
1RealQASRCC0.95—Unverified
2OneAlignSRCC0.94—Unverified
3UNIQASRCC0.93—Unverified
4KonCept512SRCC0.92—Unverified
#ModelMetricClaimedVerifiedStatus
1FSIMSRCC0.9—Unverified
2DSSSRCC0.9—Unverified
3MS-GMSDSRCC0.89—Unverified
4GMSDSRCC0.89—Unverified