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Image Quality Assessment

Papers

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Showing 101–150 of 732 papers

TitleStatusHype
Guided Depth Map Super-resolution: A SurveyCode1
ScanDMM: A Deep Markov Model of Scanpath Prediction for 360deg ImagesCode1
FaceQAN: Face Image Quality Assessment Through Adversarial Noise ExplorationCode1
Video compression dataset and benchmark of learning-based video-quality metricsCode1
IFQA: Interpretable Face Quality AssessmentCode1
DeepDC: Deep Distance Correlation as a Perceptual Image Quality EvaluatorCode1
End-to-end deep multi-score model for No-reference stereoscopic image quality assessmentCode1
Intelligent Painter: Picture Composition With Resampling Diffusion ModelCode1
Perceptual Attacks of No-Reference Image Quality Models with Human-in-the-LoopCode1
Deep-OCTA: Ensemble Deep Learning Approaches for Diabetic Retinopathy Analysis on OCTA ImagesCode1
Lossy Image Compression with Conditional Diffusion ModelsCode1
Deep Feature Statistics Mapping for Generalized Screen Content Image Quality AssessmentCode1
REQA: Coarse-to-fine Assessment of Image Quality to Alleviate the Range EffectCode1
Underwater Ranker: Learn Which Is Better and How to Be BetterCode1
Quality Assessment of Image Super-Resolution: Balancing Deterministic and Statistical FidelityCode1
SwinIQA: Learned Swin Distance for Compressed Image Quality AssessmentCode1
A Deep Learning based No-reference Quality Assessment Model for UGC VideosCode1
Conformer and Blind Noisy Students for Improved Image Quality AssessmentCode1
Hephaestus: A large scale multitask dataset towards InSAR understandingCode1
Content-Variant Reference Image Quality Assessment via Knowledge DistillationCode1
A study of deep perceptual metrics for image quality assessmentCode1
CR-FIQA: Face Image Quality Assessment by Learning Sample Relative ClassifiabilityCode1
TISE: Bag of Metrics for Text-to-Image Synthesis EvaluationCode1
Image Quality Assessment using Contrastive LearningCode1
Illumination-Aware Image Quality Assessment for Enhanced Low-light ImageCode1
Pixel-Level Face Image Quality Assessment for Explainable Face RecognitionCode1
VTAMIQ: Transformers for Attention Modulated Image Quality AssessmentCode1
A Systematic Survey of Deep Learning-based Single-Image Super-ResolutionCode1
Blindly Assess Quality of In-the-Wild Videos via Quality-aware Pre-training and Motion PerceptionCode1
Learning Conditional Knowledge Distillation for Degraded-Reference Image Quality AssessmentCode1
No-Reference Image Quality Assessment via Transformers, Relative Ranking, and Self-ConsistencyCode1
MUSIQ: Multi-scale Image Quality TransformerCode1
No-Reference Image Quality Assessment by Hallucinating Pristine FeaturesCode1
A Deep Learning-based Quality Assessment and Segmentation System with a Large-scale Benchmark Dataset for Optical Coherence Tomographic Angiography ImageCode1
A Multi-task convolutional neural network for blind stereoscopic image quality assessment using naturalness analysisCode1
Image Super-Resolution Quality Assessment: Structural Fidelity Versus Statistical NaturalnessCode1
(ASNA) An Attention-based Siamese-Difference Neural Network with Surrogate Ranking Loss function for Perceptual Image Quality AssessmentCode1
Perceptual Image Quality Assessment with TransformersCode1
Region-Adaptive Deformable Network for Image Quality AssessmentCode1
Generalizable No-Reference Image Quality Assessment via Deep Meta-learningCode1
Learning to Resize Images for Computer Vision TasksCode1
Spatial Attention-based Non-reference Perceptual Quality Prediction Network for Omnidirectional ImagesCode1
Continual Learning for Blind Image Quality AssessmentCode1
No-Reference Image Quality Assessment with Global Statistical FeaturesCode1
Point Cloud Quality Assessment: Dataset Construction and Learning-based No-Reference MetricCode1
A combined full-reference image quality assessment approach based on convolutional activation mapsCode1
Recognition Oriented Iris Image Quality Assessment in the Feature SpaceCode1
Norm-in-Norm Loss with Faster Convergence and Better Performance for Image Quality AssessmentCode1
Perceptual Quality Assessment of Smartphone PhotographyCode1
Blindly Assess Image Quality in the Wild Guided by a Self-Adaptive Hyper NetworkCode1
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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