Image Quality Assessment

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Patch Knowledge Transfer for Efficient AI-Generated Image Quality Assessment
Jul 6, 2026Jiquan YuanImage Quality Assessment Image Generation Evaluation
School of Software and Microelectronics, Peking University, Beijing, China
Towards Standardized Light Field Quality Assessment: Hybrid Subjective Benchmarking and Objective Metric Evaluation
Jul 3, 2026Saeed Mahmoudpour, Mylene C. Q. Farias, Gi-Mun Um +6Pairwise Comparison Benchmark Validity
Dept. of Electronics and Informatics, Vrije Universiteit Brussel, Belgium · IMEC, Kapeldreef 75, Leuven, B-3001, Belgium
Assessing VLM Reliability for Medical Image Quality Evaluation Under Corruption and Bias
Jul 2, 2026Sofiane Ouaari, Kevin Vorwalder, Nico PfeiferVLM Evaluation Image Corruption Robustness
Methods in Medical Informatics, Department of Computer Science, University of Tuebingen, Germany. · Institute for Bioinformatics and Medical Informatics (IBMI), University of Tuebingen, Germany.
DroneIQA-VLE: Multi-Task Drone Image Quality Assessment via Vision-Language Ensemble
Jul 1, 2026Wei Sun, Weixia Zhang, Hongjian Zhan +3Image Quality Assessment
East China Normal University · Shanghai Jiao Tong University
PrISM-IQA: Image Quality Assessment Made Practical for Smartphone Photography
Jun 30, 2026Shuyan Zhai, Jiaqi He, Weixia Zhang +4Ordinal Regression Image Quality Assessment
Department of Computer Science, City University of Hong Kong · School of Computer Science, Institute of AI, Shanghai Jiao Tong University · OPPO Research Institute +1
Bridging the Gap Between Image Restoration and Navigational Safety in Hazy Conditions: A New Visibility Estimation Metric for Maritime Surveillance
Jun 29, 2026Wentao Feng, Guobei Peng, Wengang Mao +1Image Quality Assessment Image Dehazing
Sanya Science and Education Innovation Park, Wuhan University of Technology, Sanya 572000, China · School of Navigation, Wuhan University of Technology, Wuhan 430063, China · State Key Laboratory of Maritime Technology and Safety, Wuhan University of Technology, Wuhan 430063, China +1
MR-IQA: A Unified Margin View of Regression and Ranking for Blind Image Quality Assessment
Jun 29, 2026Yuan Li, Youyuan Lin, Zitang Sun +4Learning to Rank Image Quality Assessment
Graduate School of Informatics, Kyoto University
LEIQ-Assessor: Multi-dimensional Quality Assessment of Low-light Enhanced Images via Multi-task Learning
Jun 29, 2026Wei Sun, Yanwei Jiang, Dandan Zhu +4Low-Light Image Enhancement Image Quality Assessment
East China Normal University · Shanghai Jiao Tong University
Spatially Localized Image Degradation Embeddings for Image Quality Assessment
Jun 28, 2026Krishna Srikar Durbha, Hassene Tmar, Ping-Hao Wu +2Image Quality Assessment Self-Supervised Visual Representation Learning
The University of Texas at Austin · Meta Platforms, Inc. · University of Colorado Boulder
Beyond Aesthetics: Quantifying Information Loss in Turbid Scenes
Jun 24, 2026Vasiliki Ismiroglou, Stefan H. Bengtson, Tasos Benos +2Image Segmentation Underwater Imaging
Visual Analysis and Perception Laboratory, Aalborg University, Denmark · Pioneer Centre for Artificial Intelligence, Denmark
FunPiQ: A New Benchmark for Pixel-Level Quality Assessment in Fundus Images
Jun 24, 2026Pengwei Wang, José Morano, Virginia Mares +1Fundus Imaging Explainable Medical Image Analysis
Institute of Artificial Intelligence, Center for Medical Data Science, Medical University of Vienna, Vienna, Austria · Christian Doppler Lab for Artificial Intelligence in Retina, Center for Medical Data Science, Medical University of Vienna, Vienna, Austria
Edges Before Embeddings: A Confidence-Aware Blur Gate for Vision-Language Pipelines
Jun 24, 2026Duy Tran ThanhImage Quality Assessment
OneMount Group, a Vietnam-based company in the finance and banking sector.
Benchmarking the Alignment of Data-Quality Metrics, Human Judgment and Land-Cover Segmentation Performance for Earth Observation
Jun 23, 2026Ümit Mert Çağlar, Alptekin TemizelSynthetic Data Augmentation Remote Sensing Image Segmentation
Graduate School of Informatics, Middle East Technical University, Ankara, Turkey
EFIQA: Explainable Fundus Image Quality Assessment via Anatomical Priors
Jun 18, 2026Pengwei Wang, José Morano, Qian Wan +1Fundus Imaging Explainable Medical Image Analysis
Institute of Artificial Intelligence, Center for Medical Data Science, Medical University of Vienna, Austria · Christian Doppler Lab for Artificial Intelligence in Retina, Medical University of Vienna, Austria
Bridging Single Distortion Artifacts and Multifactorial Clinical Quality: Few-shot Biparametric MRI Quality Assessment via Distortion-trained Prototypical Networks
Jun 17, 2026Yucheng Tang, Alexander Ng, Wen Yan +11Magnetic Resonance Imaging Image Quality Assessment
UCL Hawkes Institute and Department of Medical Physics and Biomedical Engineering, University College London, UK · Division of Surgery and Interventional Science, University College London, UK · Centre for Medical Imaging, University College London, UK +6
Decoupling Semantics from Distortions: Multi-Scale Two-Stream Vision-Language Alignment for AI-Generated Image Quality Assessment
Jun 15, 2026Zijie MengVLM Evaluation Image Quality Assessment
Peking University
Tool-IQA: Augmenting Image Quality Assessment with Simple Tools
Jun 15, 2026Guanyi Qin, Junjie Zhang, Chunming He +4Tool Use in VLMs Image Quality Assessment
1National University of Singapore · 2OPPO Research Institute · 3Nanyang Technical University +3
XPASS-Vis: A Dataset for Cross-Domain Personalized Image Aesthetic Assessment
Jun 14, 2026Takato Hayashi, Hiroaki Takahara, Candy Olivia Mawalim +4Personalized Image Aesthetics Assessment Cross-Domain Generalization
Japan Advanced Institute of Science and Technology, 1-1 Asahidai, Nomi, Ishikawa 923-1292, Japan · Communication Science Laboratories, NTT, Inc.,2026 Atsugi-shi 243-0198, Japan
Visual Quality Score Assessment of Large White Goods in Remanufacture with Multi-View Deformable-DETR
Jun 12, 2026Paul Koch, Vivek ChavanMulti-View Learning Industrial Inspection
Fraunhofer-Institut für Produktionsanlagen und Konstruktionstechnik (IPK), Pascalstraße 8-9, 10587 Berlin, Germany
Image Quality Assessment of Identity Cards Using Measures from Open Face Image Quality
Jun 10, 2026Gregor Grote, Juan E. Tapia, Christian RathgebImage Quality Assessment
da/sec - Biometrics and cybersecurity research group Darmstadt University of applied science, Darmstadt, Germany
ClinReadNet: A clinical reading-inspired network for low-dose abdominal CT image quality assessment
Jun 9, 2026Xianye Xiao, Yulong Zou, Yujie Luo +6Image Quality Assessment Computed Tomography
School of Mathematics and Computer Sciences, Nanchang University, Nanchang 330031, China · School of Information Engineering, Nanchang University, Nanchang 330031, China · Department of Radiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou 510120, China +3
Beyond Absolute Scores: Relative Edit-induced Difference for Generalizable Image Aesthetic Assessment
Jun 4, 2026Qifei Jia, Xintong Yao, Yasen Zhang +7Personalized Image Aesthetics Assessment Image Quality Assessment
Xiaomi Corporation, Beijing, China
Towards Characterizing Scientific Image Utility and Upgradability
Jun 2, 2026WenZhe Li, Qihang Yan, Liang Chen +6Image Quality Assessment Multimodal Model Evaluation
Shanghai Research Institute for Intelligent Autonomous Systems, TongJi University · Shanghai Artificial Intelligence Laboratory · Shanghai Jiao Tong University
LL-Bench: Rethinking Low-Level Vision Evaluation in the Era of Large-Scale Generative Models
Jun 1, 2026Lu Liu, Huiyu Duan, Chenxin Zhu +6Image Restoration Image Quality Assessment
Shanghai Jiao Tong University, Shanghai, China
Low-Rank Adaptation of Frozen Vision-Language Models for Blind Image Quality Assessment
Jun 1, 2026Bishr Omer Adam, Xu LiVLM Adaptation Low-Rank Adaptation
School of Electronics and Information, Northwestern Polytechnical University, Xi’an, China
AutoIQ: An Ensemble Framework for Automatic Assessment of Geometric Distortion in Prostate Diffusion-Weighted Imaging
May 29, 2026Haoran Sun, Lixia Wang, Yin-Chen Hsu +13Medical Imaging Magnetic Resonance Imaging
Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA · Siemens Medical Solutions USA Inc., Los Angeles, CA, USA · Siemens Healthineers AG, Forchheim, Germany +5
Boosting Image Quality Assessment Performance: Unsupervised Score Fusion by Deep Maximum a Posteriori Estimation
May 28, 2026Zhongling Wang, Raymond Zhou, Shahrukh Athar +2Image Quality Assessment
University of Waterloo, Canada · McMaster University, Canada
Constructing efficient channels for ideal observers using the conjugate gradient method
May 28, 2026Weimin ZhouMedical Imaging Image Quality Assessment
University of Arizona, Wyant College of Optical Sciences, Tucson, AZ 85721, USA · University of Arizona, Department of Radiology & Imaging Sciences, Tucson, AZ 85721, USA
MetaRanker: Human-in-the-loop Active Ranking for Metalens Image Quality
May 28, 2026Yujin Park, Haejun Chung, Ikbeom JangLearning to Rank Active Learning
Hanyang University Seoul, Republic of Korea · Hankuk University of Foreign Studies Yongin, Republic of Korea
Image Thresholding: Understanding Bias of Evaluation Metrics towards Specific Evaluation Functions
May 26, 2026Eslam Hegazy, Mohamed GabrImage Segmentation Image Quality Assessment
German University in Cairo, Cairo, Egypt

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Patch Knowledge Transfer for Efficient AI-Generated Image Quality Assessment

Jiquan Yuan

School of Software and Microelectronics, Peking University, Beijing, China

Image Quality Assessment Image Generation Evaluation Knowledge Distillation

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With the rapid advancement of image generation technologies, perceptual quality assessment of AI-generated images has emerged as a crucial research direction in computer vision. The core challenge of this task lies in achieving efficient quality assessment for massive generated images. Current mainstream approaches exhibit two key limitations: 1) Methods employing complex feature extraction strategies, while improving performance, incur prohibitive computational costs that hinder real-time inference; 2) Simple image scaling-based solutions, despite their computational efficiency, demonstrate significantly inferior assessment accuracy. To address this critical issue, we propose Patch Knowledge Transfer (PKT), a knowledge distillation-based optimization framework that achieves synergistic optimization of visual representation capability and inference efficiency through an innovative multi-level knowledge transfer mechanism. Specifically, we design a dual-model architecture: a teacher model with local-global hybrid processing provides high-quality supervision signals, while a student model relying solely on global processing efficiently inherits the teacher's representation capacity through multi-level supervision. Extensive experiments conducted on 4 AIGIQA databases demonstrate that the PKT framework enables the student model to maintain performance comparable to the teacher while reducing computational costs by 67.7%. Furthermore, compared to existing methods, our approach achieves a superior balance between model efficiency and assessment accuracy.