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Image Quality Assessment

Papers

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Showing 1–50 of 732 papers

TitleStatusHype
Visual-Language Model Knowledge Distillation Method for Image Quality Assessment—0
DeQA-Doc: Adapting DeQA-Score to Document Image Quality AssessmentCode0
Text-Visual Semantic Constrained AI-Generated Image Quality AssessmentCode1
4KAgent: Agentic Any Image to 4K Super-Resolution—0
MS-IQA: A Multi-Scale Feature Fusion Network for PET/CT Image Quality AssessmentCode0
FundaQ-8: A Clinically-Inspired Scoring Framework for Automated Fundus Image Quality Assessment—0
MetaQAP -- A Meta-Learning Approach for Quality-Aware Pretraining in Image Quality Assessment—0
Enhanced Dermatology Image Quality Assessment via Cross-Domain Training—0
3DGS-IEval-15K: A Large-scale Image Quality Evaluation Database for 3D Gaussian-SplattingCode1
EyeSim-VQA: A Free-Energy-Guided Eye Simulation Framework for Video Quality Assessment—0
Robustness as Architecture: Designing IQA Models to Withstand Adversarial Perturbations—0
Digital twins enable full-reference quality assessment of photoacoustic image reconstructions—0
DGIQA: Depth-guided Feature Attention and Refinement for Generalizable Image Quality AssessmentCode0
Taylor expansion-based Kolmogorov-Arnold network for blind image quality assessmentCode1
MMP-2K: A Benchmark Multi-Labeled Macro Photography Image Quality Assessment DatabaseCode1
Perceptual Quality Assessment for Embodied AICode0
VisualQuality-R1: Reasoning-Induced Image Quality Assessment via Reinforcement Learning to RankCode2
Exploring Image Quality Assessment from a New Perspective: Pupil Size—0
Semantically-Aware Game Image Quality Assessment—0
Hybrid Image Resolution Quality Metric (HIRQM):A Comprehensive Perceptual Image Quality Assessment Framework—0
HiLLIE: Human-in-the-Loop Training for Low-Light Image EnhancementCode0
Perceptual Error Logarithm: An Efficient and Effective Analytical Method for Full-Reference Image Quality Assessment—0
NTIRE 2025 Challenge on Real-World Face Restoration: Methods and ResultsCode1
Towards Explainable Partial-AIGC Image Quality Assessment—0
Q-Agent: Quality-Driven Chain-of-Thought Image Restoration Agent through Robust Multimodal Large Language Model—0
Q-Adapt: Adapting LMM for Visual Quality Assessment with Progressive Instruction TuningCode1
Multi-Marker Similarity enables reduced-reference and interpretable image quality assessment in optical microscopy—0
Q-Insight: Understanding Image Quality via Visual Reinforcement LearningCode2
Mitigating Low-Level Visual Hallucinations Requires Self-Awareness: Database, Model and Training Strategy—0
Exploring Semantic Feature Discrimination for Perceptual Image Super-Resolution and Opinion-Unaware No-Reference Image Quality AssessmentCode1
Cross-Domain Underwater Image Enhancement Guided by No-Reference Image Quality Assessment: A Transfer Learning Approach—0
Toward Generalized Image Quality Assessment: Relaxing the Perfect Reference Quality AssumptionCode2
Image Quality Assessment: From Human to Machine PreferenceCode1
IQPFR: An Image Quality Prior for Blind Face Restoration and Beyond—0
Teaching LMMs for Image Quality Scoring and InterpretingCode2
Multimodal Human-AI Synergy for Medical Imaging Quality Control: A Hybrid Intelligence Framework with Adaptive Dataset Curation and Closed-Loop Evaluation—0
Unsupervised Multi-Clustering and Decision-Making Strategies for 4D-STEM Orientation Mapping—0
Next Token Is Enough: Realistic Image Quality and Aesthetic Scoring with Multimodal Large Language ModelCode2
Viewport-Unaware Blind Omnidirectional Image Quality Assessment: A Flexible and Effective ParadigmCode0
Computational Analysis of Degradation Modeling in Blind Panoramic Image Quality Assessment—0
A Causal Framework for Aligning Image Quality Metrics and Deep Neural Network Robustness—0
Illuminant and light direction estimation using Wasserstein distance method—0
BELE: Blur Equivalent Linearized Estimator—0
Picking the Cream of the Crop: Visual-Centric Data Selection with Collaborative AgentsCode0
Max360IQ: Blind Omnidirectional Image Quality Assessment with Multi-axis AttentionCode0
AdverX-Ray: Ensuring X-Ray Integrity Through Frequency-Sensitive Adversarial VAEsCode0
M3-AGIQA: Multimodal, Multi-Round, Multi-Aspect AI-Generated Image Quality AssessmentCode1
Omnidirectional Image Quality Captioning: A Large-scale Database and A New ModelCode0
A Survey on Image Quality Assessment: Insights, Analysis, and Future Outlook—0
Image Intrinsic Scale Assessment: Bridging the Gap Between Quality and Resolution—0
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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