{"about":{"non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","site":"https://codewithpapers.app","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page","syntology":{"site":"https://syntology.ai","developers":"https://syntology.ai/developers","mcp":{"server":"https://syntology.ai/mcp","transport":"streamable-http","server_card":"https://syntology.ai/.well-known/mcp/server-card.json","auth":{"type":"trial token, no account","trial_token":"https://syntology.ai/api/oauth/trial/token","method":"POST","docs":"https://syntology.ai/developers"}},"have":"https://syntology.ai/api/graph/have?x=<method, arXiv id or title> (free, answers coverage only)","paper_base":"https://syntology.ai/paper/","atlas_base":"https://app.syntology.ai/?focus="},"machine_readable":[{"url":"https://codewithpapers.app/llms.txt","what":"the machine catalog: every machine-readable file, counted"},{"url":"https://codewithpapers.app/index/manifest.json","what":"paper-to-code index by arXiv id, with Syntology's counts"},{"url":"https://codewithpapers.app/search/manifest.json","what":"site search index (titles, authors) and its files"},{"url":"https://codewithpapers.app/download","what":"bulk files: Syntology's layer, described there"},{"url":"https://codewithpapers.app/build_manifest.json","what":"the build record: inputs, counts, exclusions, probes"}]},"url":"/task/image-quality-assessment/papers/4","list_of":"/task/image-quality-assessment","task":"Image Quality Assessment","archive":{"snapshot":"2025-07-28"},"key_notes":{"n_ran_checked":"legacy name, kept unchanged so existing readers do not break: it counts the samples that ran with no instrument failure (honoured, violated, and ran with no contract checked); it does not mean a contract was checked, and the pages print it as 'K with no instrument failure', not 'K checked'","n_constructed":"a sub-count of the samples that ran, never subtracted from them and never a failure: an executed sample whose run returned an instance of its own class (fixture_out_type equals the entry name): the run built an object and did not compute a result (Syntology's RAN record, counts.constructed)"},"syntology_read_at":"2026-09-28T10:30:06+00:00","order":"archive","order_definition":"repositories listed in the archive (most first), then date (newest first), then slug","page":4,"pages_in_order":8,"rows_per_page":100,"rows":[301,400],"of":732,"counts":{"archive_papers_tagged":732,"with_a_code_link":318,"where_syntology_ran_a_sample":38,"not_listed_spam_title":0,"listed":732,"listed_where_code_ran":38,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":30,"every_run_a_failure_of_syntologys_instrument":8,"listed_with_a_run_with_no_instrument_failure":30,"listed_every_run_a_failure_of_syntologys_instrument":8,"filter":{"states":["a run with no instrument failure","any run, instrument failures included"],"default":"a run with no instrument failure","note":"on the 'only where code ran' pages the default hides, in the browser, the rows where every run was a failure of Syntology's instrument; the second state shows them again. Rows are hidden, never re-ordered; these twins list every row"}},"definition":"distinct papers the archive tags; 'where Syntology ran a sample' counts papers with at least one harvested sample that ran, which is not a correctness claim"},"first_page":"/task/image-quality-assessment","prev":"/task/image-quality-assessment/papers/3","next":"/task/image-quality-assessment/papers/5","papers":[{"url":"/paper/hyperparameter-optimization-in-black-box","slug":"hyperparameter-optimization-in-black-box","title":"Hyperparameter Optimization in Black-box Image Processing using Differentiable Proxies","date":"2019-04-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/robust-statistics-and-no-reference-image","slug":"robust-statistics-and-no-reference-image","title":"Robust statistics and no-reference image quality assessment in Curvelet domain","date":"2019-02-11","arxiv_id":"1902.03842","repositories_listed":1,"syntology":null},{"url":"/paper/no-reference-color-image-quality-assessment","slug":"no-reference-color-image-quality-assessment","title":"No-Reference Color Image Quality Assessment: From Entropy to Perceptual Quality","date":"2018-12-27","arxiv_id":"1812.10695","repositories_listed":1,"syntology":null},{"url":"/paper/image-quality-assessment-and-color-difference","slug":"image-quality-assessment-and-color-difference","title":"Image Quality Assessment and Color Difference","date":"2018-11-22","arxiv_id":"1811.09301","repositories_listed":1,"syntology":null},{"url":"/paper/a-comparative-study-of-quality-and-content","slug":"a-comparative-study-of-quality-and-content","title":"A Comparative Study of Quality and Content-Based Spatial Pooling Strategies in Image Quality Assessment","date":"2018-11-21","arxiv_id":"1811.08891","repositories_listed":1,"syntology":null},{"url":"/paper/boosting-in-image-quality-assessment","slug":"boosting-in-image-quality-assessment","title":"Boosting in Image Quality Assessment","date":"2018-11-21","arxiv_id":"1811.08429","repositories_listed":1,"syntology":null},{"url":"/paper/bless-bio-inspired-low-level-spatiochromatic","slug":"bless-bio-inspired-low-level-spatiochromatic","title":"BLeSS: Bio-inspired Low-level Spatiochromatic Similarity Assisted Image Quality Assessment","date":"2018-11-16","arxiv_id":"1811.07044","repositories_listed":1,"syntology":null},{"url":"/paper/resift-reliability-weighted-sift-based-image","slug":"resift-reliability-weighted-sift-based-image","title":"ReSIFT: Reliability-Weighted SIFT-based Image Quality Assessment","date":"2018-11-14","arxiv_id":"1811.06090","repositories_listed":1,"syntology":null},{"url":"/paper/exploiting-high-level-semantics-for-no","slug":"exploiting-high-level-semantics-for-no","title":"Exploiting High-Level Semantics for No-Reference Image Quality Assessment of Realistic Blur Images","date":"2018-10-18","arxiv_id":"1810.08169","repositories_listed":1,"syntology":null},{"url":"/paper/which-has-better-visual-quality-the-clear","slug":"which-has-better-visual-quality-the-clear","title":"Which Has Better Visual Quality: The Clear Blue Sky or a Blurry Animal?","date":"2018-10-11","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/koniq-10k-towards-an-ecologically-valid-and","slug":"koniq-10k-towards-an-ecologically-valid-and","title":"KonIQ-10k: Towards an ecologically valid and large-scale IQA database","date":"2018-03-22","arxiv_id":"1803.08489","repositories_listed":1,"syntology":null},{"url":"/paper/high-quality-facial-photo-sketch-synthesis","slug":"high-quality-facial-photo-sketch-synthesis","title":"High-Quality Facial Photo-Sketch Synthesis Using Multi-Adversarial Networks","date":"2017-10-27","arxiv_id":"1710.10182","repositories_listed":1,"syntology":null},{"url":"/paper/a-probabilistic-quality-representation","slug":"a-probabilistic-quality-representation","title":"A Probabilistic Quality Representation Approach to Deep Blind Image Quality Prediction","date":"2017-08-28","arxiv_id":"1708.08190","repositories_listed":1,"syntology":null},{"url":"/paper/deep-learning-of-human-visual-sensitivity-in","slug":"deep-learning-of-human-visual-sensitivity-in","title":"Deep Learning of Human Visual Sensitivity in Image Quality Assessment Framework","date":"2017-07-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/video-imagination-from-a-single-image-with","slug":"video-imagination-from-a-single-image-with","title":"Video Imagination from a Single Image with Transformation Generation","date":"2017-06-13","arxiv_id":"1706.04124","repositories_listed":1,"syntology":null},{"url":"/paper/mean-deviation-similarity-index-efficient-and","slug":"mean-deviation-similarity-index-efficient-and","title":"Mean Deviation Similarity Index: Efficient and Reliable Full-Reference Image Quality Evaluator","date":"2016-08-26","arxiv_id":"1608.07433","repositories_listed":1,"syntology":null},{"url":"/paper/a-patch-structure-representation-method-for","slug":"a-patch-structure-representation-method-for","title":"A Patch-Structure Representation Method for Quality Assessment of Contrast Changed Images","date":"2015-10-05","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/no-reference-image-quality-assessment-in-the","slug":"no-reference-image-quality-assessment-in-the","title":"No-Reference Image Quality Assessment in the Spatial Domain","date":"2012-08-17","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":null,"slug":"visual-language-model-knowledge-distillation","title":"Visual-Language Model Knowledge Distillation Method for Image Quality Assessment","date":"2025-07-21","arxiv_id":"2507.15680","repositories_listed":0,"syntology":null},{"url":null,"slug":"deqa-doc-adapting-deqa-score-to-document","title":"DeQA-Doc: Adapting DeQA-Score to Document Image Quality Assessment","date":"2025-07-17","arxiv_id":"2507.12796","repositories_listed":0,"syntology":null},{"url":null,"slug":"4kagent-agentic-any-image-to-4k-super","title":"4KAgent: Agentic Any Image to 4K Super-Resolution","date":"2025-07-09","arxiv_id":"2507.07105","repositories_listed":0,"syntology":null},{"url":null,"slug":"fundaq-8-a-clinically-inspired-scoring","title":"FundaQ-8: A Clinically-Inspired Scoring Framework for Automated Fundus Image Quality Assessment","date":"2025-06-25","arxiv_id":"2506.20303","repositories_listed":0,"syntology":null},{"url":null,"slug":"enhanced-dermatology-image-quality-assessment","title":"Enhanced Dermatology Image Quality Assessment via Cross-Domain Training","date":"2025-06-19","arxiv_id":"2506.16116","repositories_listed":0,"syntology":null},{"url":null,"slug":"metaqap-a-meta-learning-approach-for-quality","title":"MetaQAP -- A Meta-Learning Approach for Quality-Aware Pretraining in Image Quality Assessment","date":"2025-06-19","arxiv_id":"2506.16601","repositories_listed":0,"syntology":null},{"url":null,"slug":"eyesim-vqa-a-free-energy-guided-eye","title":"EyeSim-VQA: A Free-Energy-Guided Eye Simulation Framework for Video Quality Assessment","date":"2025-06-13","arxiv_id":"2506.11549","repositories_listed":0,"syntology":null},{"url":null,"slug":"robustness-as-architecture-designing-iqa","title":"Robustness as Architecture: Designing IQA Models to Withstand Adversarial Perturbations","date":"2025-06-05","arxiv_id":"2506.04951","repositories_listed":0,"syntology":null},{"url":null,"slug":"digital-twins-enable-full-reference-quality","title":"Digital twins enable full-reference quality assessment of photoacoustic image reconstructions","date":"2025-05-30","arxiv_id":"2505.24514","repositories_listed":0,"syntology":null},{"url":null,"slug":"exploring-image-quality-assessment-from-a-new","title":"Exploring Image Quality Assessment from a New Perspective: Pupil Size","date":"2025-05-20","arxiv_id":"2505.13841","repositories_listed":0,"syntology":null},{"url":null,"slug":"semantically-aware-game-image-quality","title":"Semantically-Aware Game Image Quality Assessment","date":"2025-05-16","arxiv_id":"2505.11724","repositories_listed":0,"syntology":null},{"url":null,"slug":"hillie-human-in-the-loop-training-for-low","title":"HiLLIE: Human-in-the-Loop Training for Low-Light Image Enhancement","date":"2025-05-04","arxiv_id":"2505.02134","repositories_listed":0,"syntology":null},{"url":null,"slug":"hybrid-image-resolution-quality-metric-hirqm","title":"Hybrid Image Resolution Quality Metric (HIRQM):A Comprehensive Perceptual Image Quality Assessment Framework","date":"2025-05-04","arxiv_id":"2505.02001","repositories_listed":0,"syntology":null},{"url":"/paper/perceptual-error-logarithm-an-efficient-and","slug":"perceptual-error-logarithm-an-efficient-and","title":"Perceptual Error Logarithm: An Efficient and Effective Analytical Method for Full-Reference Image Quality Assessment","date":"2025-04-25","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-explainable-partial-aigc-image","title":"Towards Explainable Partial-AIGC Image Quality Assessment","date":"2025-04-12","arxiv_id":"2504.09291","repositories_listed":0,"syntology":null},{"url":null,"slug":"q-agent-quality-driven-chain-of-thought-image","title":"Q-Agent: Quality-Driven Chain-of-Thought Image Restoration Agent through Robust Multimodal Large Language Model","date":"2025-04-09","arxiv_id":"2504.07148","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-marker-similarity-enables-reduced","title":"Multi-Marker Similarity enables reduced-reference and interpretable image quality assessment in optical microscopy","date":"2025-04-02","arxiv_id":"2504.01537","repositories_listed":0,"syntology":null},{"url":null,"slug":"mitigating-low-level-visual-hallucinations","title":"Mitigating Low-Level Visual Hallucinations Requires Self-Awareness: Database, Model and Training Strategy","date":"2025-03-26","arxiv_id":"2503.20673","repositories_listed":0,"syntology":null},{"url":null,"slug":"cross-domain-underwater-image-enhancement","title":"Cross-Domain Underwater Image Enhancement Guided by No-Reference Image Quality Assessment: A Transfer Learning Approach","date":"2025-03-23","arxiv_id":"2503.17937","repositories_listed":0,"syntology":null},{"url":null,"slug":"iqpfr-an-image-quality-prior-for-blind-face","title":"IQPFR: An Image Quality Prior for Blind Face Restoration and Beyond","date":"2025-03-12","arxiv_id":"2503.09294","repositories_listed":0,"syntology":null},{"url":null,"slug":"multimodal-human-ai-synergy-for-medical","title":"Multimodal Human-AI Synergy for Medical Imaging Quality Control: A Hybrid Intelligence Framework with Adaptive Dataset Curation and Closed-Loop Evaluation","date":"2025-03-10","arxiv_id":"2503.07032","repositories_listed":0,"syntology":null},{"url":null,"slug":"unsupervised-multi-clustering-and-decision","title":"Unsupervised Multi-Clustering and Decision-Making Strategies for 4D-STEM Orientation Mapping","date":"2025-03-09","arxiv_id":"2503.06699","repositories_listed":0,"syntology":null},{"url":null,"slug":"computational-analysis-of-degradation","title":"Computational Analysis of Degradation Modeling in Blind Panoramic Image Quality Assessment","date":"2025-03-05","arxiv_id":"2503.03255","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-causal-framework-for-aligning-image-quality","title":"A Causal Framework for Aligning Image Quality Metrics and Deep Neural Network Robustness","date":"2025-03-04","arxiv_id":"2503.02797","repositories_listed":0,"syntology":null},{"url":null,"slug":"illuminant-and-light-direction-estimation","title":"Illuminant and light direction estimation using Wasserstein distance method","date":"2025-03-03","arxiv_id":"2503.05802","repositories_listed":0,"syntology":null},{"url":null,"slug":"bele-blur-equivalent-linearized-estimator","title":"BELE: Blur Equivalent Linearized Estimator","date":"2025-03-01","arxiv_id":"2503.00503","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-survey-on-image-quality-assessment-insights","title":"A Survey on Image Quality Assessment: Insights, Analysis, and Future Outlook","date":"2025-02-12","arxiv_id":"2502.08540","repositories_listed":0,"syntology":null},{"url":null,"slug":"image-intrinsic-scale-assessment-bridging-the","title":"Image Intrinsic Scale Assessment: Bridging the Gap Between Quality and Resolution","date":"2025-02-10","arxiv_id":"2502.06476","repositories_listed":0,"syntology":null},{"url":null,"slug":"cdi-blind-image-restoration-fidelity","title":"CDI: Blind Image Restoration Fidelity Evaluation based on Consistency with Degraded Image","date":"2025-01-24","arxiv_id":"2501.14264","repositories_listed":0,"syntology":null},{"url":null,"slug":"accelerate-high-quality-diffusion-models-with","title":"Accelerate High-Quality Diffusion Models with Inner Loop Feedback","date":"2025-01-22","arxiv_id":"2501.13107","repositories_listed":0,"syntology":null},{"url":null,"slug":"fundus-image-quality-assessment-and","title":"Fundus Image Quality Assessment and Enhancement: a Systematic Review","date":"2025-01-20","arxiv_id":"2501.11520","repositories_listed":0,"syntology":null},{"url":null,"slug":"teaching-large-language-models-to-regress","title":"Teaching Large Language Models to Regress Accurate Image Quality Scores using Score Distribution","date":"2025-01-20","arxiv_id":"2501.11561","repositories_listed":0,"syntology":null},{"url":null,"slug":"demographic-variability-in-face-image-quality","title":"Demographic Variability in Face Image Quality Measures","date":"2025-01-14","arxiv_id":"2501.07898","repositories_listed":0,"syntology":null},{"url":null,"slug":"eye-sclera-for-fair-face-image-quality","title":"Eye Sclera for Fair Face Image Quality Assessment","date":"2025-01-13","arxiv_id":"2501.07158","repositories_listed":0,"syntology":null},{"url":null,"slug":"faceoracle-chat-with-a-face-image-oracle","title":"FaceOracle: Chat with a Face Image Oracle","date":"2025-01-13","arxiv_id":"2501.07202","repositories_listed":0,"syntology":null},{"url":null,"slug":"radial-distortion-in-face-images-detection","title":"Radial Distortion in Face Images: Detection and Impact","date":"2025-01-13","arxiv_id":"2501.07179","repositories_listed":0,"syntology":null},{"url":null,"slug":"harmonyiqa-pioneering-benchmark-and-model-for","title":"HarmonyIQA: Pioneering Benchmark and Model for Image Harmonization Quality Assessment","date":"2025-01-02","arxiv_id":"2501.01116","repositories_listed":0,"syntology":null},{"url":null,"slug":"augmenting-perceptual-super-resolution-via","title":"Augmenting Perceptual Super-Resolution via Image Quality Predictors","date":"2025-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"distilling-spatially-heterogeneous-distortion","title":"Distilling Spatially-Heterogeneous Distortion Perception for Blind Image Quality Assessment","date":"2025-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"structural-similarity-in-deep-features-image","title":"Structural Similarity in Deep Features: Image Quality Assessment Robust to Geometrically Disparate Reference","date":"2024-12-27","arxiv_id":"2412.19553","repositories_listed":0,"syntology":null},{"url":null,"slug":"image-quality-assessment-exploring-regional","title":"Image Quality Assessment: Exploring Regional Heterogeneity via Response of Adaptive Multiple Quality Factors in Dictionary Space","date":"2024-12-24","arxiv_id":"2412.18160","repositories_listed":0,"syntology":null},{"url":null,"slug":"image-quality-assessment-investigating-causal","title":"Image Quality Assessment: Investigating Causal Perceptual Effects with Abductive Counterfactual Inference","date":"2024-12-22","arxiv_id":"2412.16939","repositories_listed":0,"syntology":null},{"url":null,"slug":"image-quality-assessment-enhancing-perceptual","title":"Image Quality Assessment: Enhancing Perceptual Exploration and Interpretation with Collaborative Feature Refinement and Hausdorff distance","date":"2024-12-20","arxiv_id":"2412.15847","repositories_listed":0,"syntology":null},{"url":null,"slug":"underwater-image-quality-assessment-a","title":"PIGUIQA: A Physical Imaging Guided Perceptual Framework for Underwater Image Quality Assessment","date":"2024-12-20","arxiv_id":"2412.15527","repositories_listed":0,"syntology":null},{"url":null,"slug":"f-bench-rethinking-human-preference","title":"F-Bench: Rethinking Human Preference Evaluation Metrics for Benchmarking Face Generation, Customization, and Restoration","date":"2024-12-17","arxiv_id":"2412.13155","repositories_listed":0,"syntology":null},{"url":null,"slug":"impact-of-face-alignment-on-face-image","title":"Impact of Face Alignment on Face Image Quality","date":"2024-12-16","arxiv_id":"2412.11779","repositories_listed":0,"syntology":null},{"url":null,"slug":"light-field-image-quality-assessment-with","title":"Light Field Image Quality Assessment With Auxiliary Learning Based on Depthwise and Anglewise Separable Convolutions","date":"2024-12-10","arxiv_id":"2412.07079","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-no-reference-medical-image-quality","title":"A No-Reference Medical Image Quality Assessment Method Based on Automated Distortion Recognition Technology: Application to Preprocessing in MRI-guided Radiotherapy","date":"2024-12-09","arxiv_id":"2412.06599","repositories_listed":0,"syntology":null},{"url":null,"slug":"enhancing-content-representation-for-ar-image","title":"Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation","date":"2024-12-08","arxiv_id":"2412.06003","repositories_listed":0,"syntology":null},{"url":null,"slug":"ai-generated-image-quality-assessment-based","title":"AI-Generated Image Quality Assessment Based on Task-Specific Prompt and Multi-Granularity Similarity","date":"2024-11-25","arxiv_id":"2411.16087","repositories_listed":0,"syntology":null},{"url":null,"slug":"acquire-precise-and-comparable-fundus-image","title":"Acquire Precise and Comparable Fundus Image Quality Score: FTHNet and FQS Dataset","date":"2024-11-19","arxiv_id":"2411.12273","repositories_listed":0,"syntology":null},{"url":null,"slug":"mitigating-perception-bias-a-training-free","title":"Mitigating Perception Bias: A Training-Free Approach to Enhance LMM for Image Quality Assessment","date":"2024-11-19","arxiv_id":"2411.12791","repositories_listed":0,"syntology":null},{"url":null,"slug":"stochastic-biqa-median-randomized-smoothing","title":"Stochastic BIQA: Median Randomized Smoothing for Certified Blind Image Quality Assessment","date":"2024-11-19","arxiv_id":"2411.12575","repositories_listed":0,"syntology":null},{"url":null,"slug":"visual-question-answering-based-evaluation","title":"Visual question answering based evaluation metrics for text-to-image generation","date":"2024-11-15","arxiv_id":"2411.10183","repositories_listed":0,"syntology":null},{"url":null,"slug":"scale-contrastive-learning-with-selective","title":"Scale Contrastive Learning with Selective Attentions for Blind Image Quality Assessment","date":"2024-11-13","arxiv_id":"2411.09007","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-novel-automatic-real-time-motion-tracking","title":"A Novel Automatic Real-time Motion Tracking Method for Magnetic Resonance Imaging-guided Radiotherapy: Leveraging the Enhanced Tracking-Learning-Detection Framework with Automatic Segmentation","date":"2024-11-12","arxiv_id":"2411.07503","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-task-feature-enhancement-network-for-no","title":"Multi-task Feature Enhancement Network for No-Reference Image Quality Assessment","date":"2024-11-12","arxiv_id":"2411.07556","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-impact-of-mri-image-quality-on","title":"The impact of MRI image quality on statistical and predictive analysis on voxel based morphology","date":"2024-11-02","arxiv_id":"2411.01268","repositories_listed":0,"syntology":null},{"url":null,"slug":"rician-denoising-diffusion-probabilistic","title":"Rician Denoising Diffusion Probabilistic Models For Sodium Breast MRI Enhancement","date":"2024-10-15","arxiv_id":"2410.11511","repositories_listed":0,"syntology":null},{"url":null,"slug":"quality-prediction-of-ai-generated-images-and","title":"Quality Prediction of AI Generated Images and Videos: Emerging Trends and Opportunities","date":"2024-10-11","arxiv_id":"2410.08534","repositories_listed":0,"syntology":null},{"url":null,"slug":"medical-image-quality-assessment-based-on","title":"Medical Image Quality Assessment based on Probability of Necessity and Sufficiency","date":"2024-10-10","arxiv_id":"2410.08118","repositories_listed":0,"syntology":null},{"url":null,"slug":"study-of-subjective-and-objective-quality-in","title":"Study of Subjective and Objective Quality in Super-Resolution Enhanced Broadcast Images on a Novel SR-IQA Dataset","date":"2024-09-26","arxiv_id":"2409.17451","repositories_listed":0,"syntology":null},{"url":null,"slug":"quantitative-and-qualitative-evaluation-of-2","title":"Quantitative and Qualitative Evaluation of NLM and Wavelet Methods in Image Enhancement","date":"2024-09-22","arxiv_id":"2409.14334","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-learning-based-detection-of-referable","title":"Deep Learning-Based Detection of Referable Diabetic Retinopathy and Macular Edema Using Ultra-Widefield Fundus Imaging","date":"2024-09-19","arxiv_id":"2409.12854","repositories_listed":0,"syntology":null},{"url":null,"slug":"exiqa-explainable-image-quality-assessment","title":"ExIQA: Explainable Image Quality Assessment Using Distortion Attributes","date":"2024-09-10","arxiv_id":"2409.06853","repositories_listed":0,"syntology":null},{"url":null,"slug":"boosting-clip-adaptation-for-image-quality","title":"Boosting CLIP Adaptation for Image Quality Assessment via Meta-Prompt Learning and Gradient Regularization","date":"2024-09-09","arxiv_id":"2409.05381","repositories_listed":0,"syntology":null},{"url":null,"slug":"exploring-rich-subjective-quality-information","title":"Exploring Rich Subjective Quality Information for Image Quality Assessment in the Wild","date":"2024-09-09","arxiv_id":"2409.05540","repositories_listed":0,"syntology":null},{"url":null,"slug":"synmorph-generating-synthetic-face-morphing","title":"SynMorph: Generating Synthetic Face Morphing Dataset with Mated Samples","date":"2024-09-09","arxiv_id":"2409.05595","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-deep-learning-based-lable-free-no-reference","title":"A Deep-Learning-Based Label-free No-Reference Image Quality Assessment Metric: Application in Sodium MRI Denoising","date":"2024-08-29","arxiv_id":"2408.16481","repositories_listed":0,"syntology":null},{"url":null,"slug":"msliqa-enhancing-learning-representations-for","title":"MSLIQA: Enhancing Learning Representations for Image Quality Assessment through Multi-Scale Learning","date":"2024-08-29","arxiv_id":"2408.16879","repositories_listed":0,"syntology":null},{"url":null,"slug":"clip-agiqa-boosting-the-performance-of-ai","title":"CLIP-AGIQA: Boosting the Performance of AI-Generated Image Quality Assessment with CLIP","date":"2024-08-27","arxiv_id":"2408.15098","repositories_listed":0,"syntology":null},{"url":null,"slug":"image-score-learning-and-evaluating-human","title":"Image Score: Learning and Evaluating Human Preferences for Mercari Search","date":"2024-08-21","arxiv_id":"2408.11349","repositories_listed":0,"syntology":null},{"url":null,"slug":"perceptual-depth-quality-assessment-of","title":"Perceptual Depth Quality Assessment of Stereoscopic Omnidirectional Images","date":"2024-08-19","arxiv_id":"2408.10134","repositories_listed":0,"syntology":null},{"url":null,"slug":"achieving-complex-image-edits-via-function","title":"FunEditor: Achieving Complex Image Edits via Function Aggregation with Diffusion Models","date":"2024-08-16","arxiv_id":"2408.08495","repositories_listed":0,"syntology":null},{"url":null,"slug":"evaluating-bm3d-and-nbnet-a-comprehensive","title":"Evaluating BM3D and NBNet: A Comprehensive Study of Image Denoising Across Multiple Datasets","date":"2024-08-11","arxiv_id":"2408.05697","repositories_listed":0,"syntology":null},{"url":null,"slug":"2407-21363","title":"ESIQA: Perceptual Quality Assessment of Vision-Pro-based Egocentric Spatial Images","date":"2024-07-31","arxiv_id":"2407.21363","repositories_listed":0,"syntology":null},{"url":null,"slug":"x-fake-juggling-utility-evaluation-and","title":"X-Fake: Juggling Utility Evaluation and Explanation of Simulated SAR Images","date":"2024-07-28","arxiv_id":"2407.19436","repositories_listed":0,"syntology":null},{"url":null,"slug":"ufqa-utility-guided-fingerphoto-quality","title":"UFQA: Utility guided Fingerphoto Quality Assessment","date":"2024-07-15","arxiv_id":"2407.11141","repositories_listed":0,"syntology":null},{"url":null,"slug":"hamil-qa-hierarchical-approach-to-multiple","title":"HAMIL-QA: Hierarchical Approach to Multiple Instance Learning for Atrial LGE MRI Quality Assessment","date":"2024-07-09","arxiv_id":"2407.07254","repositories_listed":0,"syntology":null},{"url":null,"slug":"gsbiqa-green-saliency-guided-blind-image","title":"GSBIQA: Green Saliency-guided Blind Image Quality Assessment Method","date":"2024-07-08","arxiv_id":"2407.05590","repositories_listed":0,"syntology":null},{"url":null,"slug":"local-manifold-learning-for-no-reference","title":"Local Manifold Learning for No-Reference Image Quality Assessment","date":"2024-06-27","arxiv_id":"2406.19247","repositories_listed":0,"syntology":null},{"url":"/paper/vision-language-modeling-of-content","slug":"vision-language-modeling-of-content","title":"Vision Language Modeling of Content, Distortion and Appearance for Image Quality Assessment","date":"2024-06-14","arxiv_id":"2406.09858","repositories_listed":0,"syntology":null}],"record_sha256":"ae4acf0b58a4f9c9b0c3bcfcfabcd307fcac2dee4503cc9f9666508898b22b0b","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}