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Image Quality Assessment

Papers

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Showing 1–25 of 732 papers

TitleStatusHype
TOPIQ: A Top-down Approach from Semantics to Distortions for Image Quality AssessmentCode4
Descriptive Image Quality Assessment in the WildCode3
Q-Bench+: A Benchmark for Multi-modal Foundation Models on Low-level Vision from Single Images to PairsCode3
PyTorch Image Quality: Metrics for Image Quality AssessmentCode3
Image Quality Assessment for Magnetic Resonance ImagingCode3
The Unreasonable Effectiveness of Deep Features as a Perceptual MetricCode3
VisualQuality-R1: Reasoning-Induced Image Quality Assessment via Reinforcement Learning to RankCode2
Q-Insight: Understanding Image Quality via Visual Reinforcement LearningCode2
Toward Generalized Image Quality Assessment: Relaxing the Perfect Reference Quality AssumptionCode2
Teaching LMMs for Image Quality Scoring and InterpretingCode2
Next Token Is Enough: Realistic Image Quality and Aesthetic Scoring with Multimodal Large Language ModelCode2
Deep Learning-based Compression Detection for explainable Face Image Quality AssessmentCode2
Grounding-IQA: Multimodal Language Grounding Model for Image Quality AssessmentCode2
SEAGULL: No-reference Image Quality Assessment for Regions of Interest via Vision-Language Instruction TuningCode2
LAR-IQA: A Lightweight, Accurate, and Robust No-Reference Image Quality Assessment ModelCode2
DSL-FIQA: Assessing Facial Image Quality via Dual-Set Degradation Learning and Landmark-Guided TransformerCode2
Fieldscale: Locality-Aware Field-based Adaptive Rescaling for Thermal Infrared ImageCode2
A Comprehensive Study of Multimodal Large Language Models for Image Quality AssessmentCode2
Pairwise Comparisons Are All You NeedCode2
Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined LevelsCode2
Depicting Beyond Scores: Advancing Image Quality Assessment through Multi-modal Language ModelsCode2
Q-Bench: A Benchmark for General-Purpose Foundation Models on Low-level VisionCode2
Blind Image Quality Assessment via Vision-Language Correspondence: A Multitask Learning PerspectiveCode2
Thinking Image Color Aesthetics Assessment: Models, Datasets and BenchmarksCode2
Exploring CLIP for Assessing the Look and Feel of ImagesCode2
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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