{"total":66,"rows":[{"id":"2403.11176","title":"Quality-Aware Image-Text Alignment for Opinion-Unaware Image Quality Assessment","created":"2024-03-17","cited_by_count":32,"area":null},{"id":"2604.11487","title":"NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild","created":"2026-04-13","cited_by_count":18,"area":null},{"id":"2511.21087","title":"MIRA: Multimodal Iterative Reasoning Agent for Image Editing","created":"2025-11-26","cited_by_count":17,"area":null},{"id":"2406.17472","title":"UHD-IQA Benchmark Database: Pushing the Boundaries of Blind Photo Quality Assessment","created":"2024-06-25","cited_by_count":16,"area":null},{"id":"2412.04508","title":"Video Quality Assessment: A Comprehensive Survey","created":"2024-12-04","cited_by_count":15,"area":null},{"id":"2503.10078","title":"Image Quality Assessment: From Human to Machine Preference","created":"2025-03-13","cited_by_count":12,"area":null},{"id":"2409.00749","title":"Assessing UHD Image Quality from Aesthetics, Distortions, and Saliency","created":"2024-09-01","cited_by_count":9,"area":null},{"id":"2501.01116","title":"HarmonyIQA: Pioneering Benchmark and Model for Image Harmonization Quality Assessment","created":"2025-01-02","cited_by_count":7,"area":null},{"id":"2502.14454","title":"Exploiting Deblurring Networks for Radiance Fields","created":"2025-02-20","cited_by_count":7,"area":null},{"id":"2504.18524","title":"Augmenting Perceptual Super-Resolution via Image Quality Predictors","created":"2025-04-25","cited_by_count":7,"area":null},{"id":"2507.14367","title":"Hallucination Score: Towards Mitigating Hallucinations in Generative Image Super-Resolution","created":"2025-07-18","cited_by_count":6,"area":null},{"id":"2408.17057","title":"LAR-IQA: A Lightweight, Accurate, and Robust No-Reference Image Quality Assessment Model","created":"2024-08-30","cited_by_count":5,"area":null},{"id":"2409.16271","title":"AIM 2024 Challenge on UHD Blind Photo Quality Assessment","created":"2024-09-24","cited_by_count":5,"area":null},{"id":"2603.08030","title":"QualiTeacher: Quality-Conditioned Pseudo-Labeling for Real-World Image Restoration","created":"2026-03-09","cited_by_count":5,"area":null},{"id":"2412.07527","title":"Deep Joint Unrolling for Deblurring and Low-Light Image Enhancement (JUDE)","created":"2024-12-10","cited_by_count":4,"area":null},{"id":"2507.12687","title":"TRIQA: Image Quality Assessment by Contrastive Pretraining on Ordered Distortion Triplets","created":"2025-07-16","cited_by_count":4,"area":null},{"id":"2508.02168","title":"After the Party: Navigating the Mapping From Color to Ambient Lighting","created":"2025-08-04","cited_by_count":4,"area":null},{"id":"2410.08534","title":"Quality Prediction of AI Generated Images and Videos: Emerging Trends and Opportunities","created":"2024-10-11","cited_by_count":3,"area":null},{"id":"2503.09294","title":"IQPFR: An Image Quality Prior for Blind Face Restoration and Beyond","created":"2025-03-12","cited_by_count":3,"area":null},{"id":"2510.03262","title":"Rethinking Inter-LoRA Orthogonality in Adapter Merging: Insights from Orthogonal Monte Carlo Dropout","created":"2025-09-26","cited_by_count":3,"area":null},{"id":"2603.29773","title":"Beyond Ground-Truth: Leveraging Image Quality Priors for Real-World Image Restoration","created":"2026-03-31","cited_by_count":3,"area":null},{"id":"2502.06476","title":"Image Intrinsic Scale Assessment: Bridging the Gap Between Quality and Resolution","created":"2025-02-10","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":"2506.17969","title":"BPCLIP: A Bottom-up Image Quality Assessment from Distortion to Semantics Based on CLIP","created":"2025-06-22","cited_by_count":2,"area":null},{"id":"2507.02965","title":"Concept-based Adversarial Attack: a Probabilistic Perspective","created":"2025-06-30","cited_by_count":2,"area":null},{"id":"2510.06601","title":"AIM 2025 Challenge on Real-World RAW Image Denoising","created":"2025-10-08","cited_by_count":2,"area":null},{"id":"2512.12220","title":"TechImage-Bench: Rubric-Based Evaluation for Technical Image Generation","created":"2025-12-13","cited_by_count":2,"area":null},{"id":"2512.16484","title":"Guiding Perception-Reasoning Closer to Human in Blind Image Quality Assessment","created":"2025-12-18","cited_by_count":2,"area":null},{"id":"2606.13136","title":"An Extensible and Lightweight Unified Architecture for Demosaicing Pixel-bin Image Sensors","created":"2026-06-11","cited_by_count":2,"area":null},{"id":"2408.16879","title":"MSLIQA: Enhancing Learning Representations for Image Quality Assessment through Multi-Scale Learning","created":"2024-08-29","cited_by_count":1,"area":null},{"id":"2409.17451","title":"Subjective and Objective Quality Evaluation of Super-Resolution Enhanced Broadcast Images on a Novel SR-IQA Dataset","created":"2024-09-26","cited_by_count":1,"area":null},{"id":"2505.19065","title":"MMP-2K: A Benchmark Multi-Labeled Macro Photography Image Quality Assessment Database","created":"2025-05-25","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":"2511.08155","title":"Non-Aligned Reference Image Quality Assessment for Novel View Synthesis","created":"2025-11-11","cited_by_count":1,"area":null},{"id":"2602.03558","title":"ELIQ: A Label-Free Framework for Quality Assessment of Evolving AI-Generated Images","created":"2026-02-03","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":"2602.18394","title":"Self-Aware Object Detection via Degradation Manifolds","created":"2026-02-20","cited_by_count":1,"area":null},{"id":"2603.26810","title":"Unblur-SLAM: Dense Neural SLAM for Blurry Inputs","created":"2026-03-26","cited_by_count":1,"area":null},{"id":"2605.15906","title":"A Causally Grounded Taxonomy for Image Degradation Robustness Evaluation","created":"2026-05-15","cited_by_count":1,"area":null},{"id":"2606.20108","title":"EFIQA: Explainable Fundus Image Quality Assessment via Anatomical Priors","created":"2026-06-18","cited_by_count":1,"area":null},{"id":"2402.12043","title":"A Lightweight Parallel Framework for Blind Image Quality Assessment","created":"2024-02-19","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":"2503.02797","title":"A Causal Framework for Aligning Image Quality Metrics and Deep Neural Network Robustness","created":"2025-03-04","cited_by_count":0,"area":null},{"id":"2503.07033","title":"One Latent Space to Rule All Degradations: Unifying Restoration Knowledge for Image Fusion","created":"2025-03-10","cited_by_count":0,"area":null},{"id":"2506.16601","title":"MetaQAP - A Meta-Learning Approach for Quality-Aware Pretraining in Image Quality Assessment","created":"2025-06-19","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":"2507.17157","title":"UNICE: Training A Universal Image Contrast Enhancer","created":"2025-07-23","cited_by_count":0,"area":null},{"id":"2507.17240","title":"Perceptual Classifiers: Detecting Generative Images using Perceptual Features","created":"2025-07-23","cited_by_count":0,"area":null},{"id":"2507.18532","title":"COT-AD: Cotton Analysis Dataset","created":"2025-07-24","cited_by_count":0,"area":null},{"id":"2509.16609","title":"Describe-to-Score: A text-guided framework for image complexity assessment","created":"2025-09-20","cited_by_count":0,"area":null},{"id":"2510.20550","title":"From Cheap to Pro: A Learning-based Adaptive Camera Parameter Network for Professional-Style Imaging","created":"2025-10-23","cited_by_count":0,"area":null},{"id":"2511.00698","title":"Toward Better Optimization of Low-Dose CT Enhancement: A Critical Analysis of Loss Functions and Image Quality Assessment Metrics","created":"2025-11-01","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":"2601.02018","title":"Towards Any-Quality Image Segmentation via Generative and Adaptive Latent Space Enhancement","created":"2026-01-05","cited_by_count":0,"area":null},{"id":"2603.13669","title":"SHAMISA: SHAped Modeling of Implicit Structural Associations for Self-supervised No-Reference Image Quality Assessment","created":"2026-03-14","cited_by_count":0,"area":null},{"id":"2604.11004","title":"Panoptic Pairwise Distortion Graph","created":"2026-04-13","cited_by_count":0,"area":null},{"id":"2605.22192","title":"Ultra-High-Definition Image Quality Assessment via Graph Representation Learning","created":"2026-05-21","cited_by_count":0,"area":null},{"id":"2605.24593","title":"Self-supervised Dynamic Heterogeneous Degradation Modeling for Unified Zero-Shot Image Restoration","created":"2026-05-23","cited_by_count":0,"area":null},{"id":"2605.25396","title":"Subspace-Guided Semantic and Topological Invariant Registration for Annotation-Free Ultrasound Plane Quality Control","created":"2026-05-25","cited_by_count":0,"area":null},{"id":"2606.02002","title":"Parameter-Efficient Adaptation of a Multi-Stream Vision-Language Framework for Blind Image Quality Assessment","created":"2026-06-01","cited_by_count":0,"area":null},{"id":"2606.24072","title":"Fabric Image Demoir\\'eing Benchmark from Synthesis to Restoration","created":"2026-06-23","cited_by_count":0,"area":null},{"id":"2606.29162","title":"Spatially Localized Image Degradation Embeddings for Image Quality Assessment","created":"2026-06-28","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},{"id":"2607.23321","title":"A Reference-Free Framework for Evaluating Single-Frame ISP Pipelines","created":"2026-07-25","cited_by_count":0,"area":null},{"id":"2609.02676","title":"LoFi RADIO: A Distilled In-Domain Backbone Applied for Artifact-Severity Grading of Ultra-Low-Field Neonatal Brain MR","created":"2026-09-02","cited_by_count":0,"area":null},{"id":"2609.07346","title":"From Explicit References to Scene Manifolds: Distributional Fidelity and Realism for Radiance Field Quality Assessment","created":"2026-09-07","cited_by_count":0,"area":null}],"next_cursor":null}