{"total":32,"rows":[{"id":"2204.08958","title":"MANIQA: Multi-dimension Attention Network for No-Reference Image Quality Assessment","created":"2022-04-19","cited_by_count":522,"area":null},{"id":"2108.06858","title":"No-Reference Image Quality Assessment via Transformers, Relative Ranking, and Self-Consistency","created":"2021-08-16","cited_by_count":166,"area":null},{"id":"2206.11695","title":"NTIRE 2022 Challenge on Perceptual Image Quality Assessment","created":"2022-06-23","cited_by_count":41,"area":null},{"id":"2409.00031","title":"Quality Assessment in the Era of Large Models: A Survey","created":"2024-08-17","cited_by_count":26,"area":null},{"id":"2102.00195","title":"Quantifying Visual Image Quality: A Bayesian View","created":"2021-01-30","cited_by_count":20,"area":null},{"id":"2108.04165","title":"No-Reference Image Quality Assessment by Hallucinating Pristine Features","created":"2021-08-09","cited_by_count":16,"area":null},{"id":"2305.09141","title":"Deep Ensembling for Perceptual Image Quality Assessment","created":"2023-05-16","cited_by_count":8,"area":null},{"id":"2402.17533","title":"Black-box Adversarial Attacks Against Image Quality Assessment Models","created":"2024-02-27","cited_by_count":8,"area":null},{"id":"2305.09214","title":"PIQI: Perceptual Image Quality Index based on Ensemble of Gaussian Process Regression","created":"2023-05-16","cited_by_count":6,"area":null},{"id":"2406.01020","title":"ATTIQA: Generalizable Image Quality Feature Extractor using Attribute-aware Pretraining","created":"2024-06-03","cited_by_count":5,"area":null},{"id":"2209.04699","title":"Explainable Image Quality Assessments in Teledermatological Photography","created":"2022-09-10","cited_by_count":4,"area":null},{"id":"2109.12161","title":"Deep Neural Networks for Blind Image Quality Assessment: Addressing the Data Challenge","created":"2021-09-24","cited_by_count":3,"area":null},{"id":"2209.05321","title":"Deep Feature Statistics Mapping for Generalized Screen Content Image Quality Assessment","created":"2022-09-12","cited_by_count":3,"area":null},{"id":"2106.00918","title":"Consumer Image Quality Prediction using Recurrent Neural Networks for Spatial Pooling","created":"2021-06-02","cited_by_count":2,"area":null},{"id":"2203.14557","title":"Visual Mechanisms Inspired Efficient Transformers for Image and Video Quality Assessment","created":"2022-03-28","cited_by_count":2,"area":null},{"id":"2209.10451","title":"Learning from Mixed Datasets: A Monotonic Image Quality Assessment Model","created":"2022-09-21","cited_by_count":2,"area":null},{"id":"2505.24002","title":"DGIQA: Depth-guided Feature Attention and Refinement for Generalizable Image Quality Assessment","created":"2025-05-29","cited_by_count":2,"area":null},{"id":"2301.12891","title":"Half of an image is enough for quality assessment","created":"2023-01-30","cited_by_count":1,"area":null},{"id":"2506.16116","title":"Enhanced Dermatology Image Quality Assessment via Cross-Domain Training","created":"2025-06-19","cited_by_count":1,"area":null},{"id":"2508.15130","title":"HiRQA: Hierarchical Ranking and Quality Alignment for Opinion-Unaware Image Quality Assessment","created":"2025-08-20","cited_by_count":1,"area":null},{"id":"2602.10744","title":"Self-Supervised Image Super-Resolution Quality Assessment based on Content-Free Multi-Model Oriented Representation Learning","created":"2026-02-11","cited_by_count":1,"area":null},{"id":"2110.06564","title":"Deep Superpixel-based Network for Blind Image Quality Assessment","created":"2021-10-13","cited_by_count":0,"area":null},{"id":"2206.06541","title":"Pixel-by-pixel Mean Opinion Score (pMOS) for No-Reference Image Quality Assessment","created":"2022-06-14","cited_by_count":0,"area":null},{"id":"2301.09190","title":"Apples and Oranges? Assessing Image Quality over Content Recognition","created":"2023-01-22","cited_by_count":0,"area":null},{"id":"2302.13770","title":"Mask Reference Image Quality Assessment","created":"2023-02-27","cited_by_count":0,"area":null},{"id":"2307.09857","title":"Blind Image Quality Assessment Using Multi-Stream Architecture with Spatial and Channel Attention","created":"2023-07-19","cited_by_count":0,"area":null},{"id":"2308.06055","title":"Computer-Aided Cytology Diagnosis in Animals: CNN-Based Image Quality Assessment for Accurate Disease Classification","created":"2023-08-11","cited_by_count":0,"area":null},{"id":"2409.06853","title":"ExIQA: Explainable Image Quality Assessment Using Distortion Attributes","created":"2024-09-10","cited_by_count":0,"area":null},{"id":"2506.20200","title":"MS-IQA: A Multi-Scale Feature Fusion Network for PET/CT Image Quality Assessment","created":"2025-06-25","cited_by_count":0,"area":null},{"id":"2509.21967","title":"No-Reference Image Contrast Assessment with Customized EfficientNet-B0","created":"2025-09-26","cited_by_count":0,"area":null},{"id":"2512.05209","title":"DEAR: Dataset for Evaluating the Aesthetics of Rendering","created":"2025-12-04","cited_by_count":0,"area":null},{"id":"2606.29760","title":"MR-IQA: A Unified Margin View of Regression and Ranking for Blind Image Quality Assessment","created":"2026-06-29","cited_by_count":0,"area":null}],"next_cursor":null}