Image Quality Assessment

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17 papers in the last four weeks, up 13% on the four weeks before. 0.1% of all new papers.

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ScenePercept: Scenario-Conditioned Perceptual Assessment of Real-World User-Generated Content Images
Oct 13, 2026Shuhan Xia, Yu Chen, Xiang Wang +3Image Quality Assessment
Beijing University of Posts and Telecommunications · Amap, Alibaba Group
TRIG: Toward Measuring Texture Realism in Image Generation
Oct 10, 2026Zhiwei Xu, Jiali Cui, Zhiqiang Lao +2Image Generation Evaluation Image Quality Assessment
Northwestern University · Futurewei Technologies
DISRQAD: Diffusion Image Super-Resolution Quality Assessment Dataset and Benchmark
Oct 6, 2026Nikita Kukuzei, Artem Borisov, Evgeney Bogatyrev +3Image Quality Assessment Image Super-Resolution
Lomonosov Moscow State University Moscow, Russia · MSU Institute for AI, Lomonosov Moscow State University Moscow, Russia
JLD: Perceptual Distance Through A Jacobian Lens
Oct 5, 2026Shreshth Saini, Balu Adsumilli, Alan C. BovikPerceptual Loss Image Quality Assessment
The University of Texas at Austin, Austin, TX, USA · Google, USA · University of Colorado Boulder, Boulder, CO, USA
PortraitAes: Intent-Conditioned Structured Portrait Aesthetic Assessment
Oct 4, 2026Junzhou Xie, Haozhong Xiong, Xunyun Tian +8Image Quality Assessment
Southeast University · Qwen Business Unit of Alibaba
RIQE: a NIQE-style reference model for Computed Tomography
Sep 30, 2026Fabio MattiussiImage Quality Assessment Computed Tomography
EOC
Multidimensional Observer Model and Perceptual Dimensions of Human Image Quality Assessment
Sep 29, 2026Sheng Zhao, Weikai Lin, Yuhao ZhuImage Quality Assessment
Department of Computer Science University of Rochester
When Visual Quality Misleads: Intent Recognition under Rendered Avatar Distortions
Sep 23, 2026Ning-Hsuan Chang, Kai-Siang Ma, Yu-Chih ChenVideo Quality Assessment Image Quality Assessment
National Chengchi University Taiwan · National Yang Ming Chiao Tung University Taiwan
FoMo: Forking Moment in Generative Trajectory as a Perceptual Distance
Sep 22, 2026Jaihyun Lew, Mingi Jung, Minjun Park +2Image Quality Assessment
Interdisciplinary Program in AI, Seoul National University · Department of Electrical and Computer Engineering, Seoul National University · AIIS, ASRI, INMC, and ISRC, Seoul National University
WebMRIQC: A Web-Based Implementation of MRIQC for Accessible MRI Image Quality Assessment in Resource-Constrained Settings
Sep 21, 2026Philip Nkwam, Ifeoluwa Oladeji, Sekinat Zurakat-Aderibigbe +9Medical Image Analysis Magnetic Resonance Imaging
Department of Radiography, Faculty of Health Professions, College of Medicine, University of Lagos, Nigeria. · Medical Artificial Intelligence Laboratory, Crestview Radiology Ltd., Lagos, Nigeria. · Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montreal, Canada. +3
An Evolutionary Agentic Approach for Open-ended Image Quality Perception
Sep 19, 2026Zhenchen Tang, Bo Peng, Zichuan Wang +4Image Quality Assessment Vision-Language Model-as-a-Judge
New Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China · School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China · The Hong Kong University of Science and Technology, Hong Kong SAR, China +1
GS-PQM: A Parameter-Domain Quality Metric for Compressed Gaussian Splatting
Sep 18, 2026Pedro Martin, António Rodrigues, João Ascenso +13DGS Compression 3D Gaussian Splatting
Instituto de Telecomunicações, Instituto Superior Técnico, University of Lisbon, 1049-001 Lisbon, Portugal
Configurable Multi-Stage Vision Pipeline for Crop Disease and Pest Diagnosis
Sep 18, 2026Naga Ganesh, Chandrashekar M S, Lakshmi Pedapudi +2Agricultural Image Analysis Plant Disease Classification
Digital Green
Scientific Image Quality Assessment via Multi-modal Retrieval-Augmented Generation
Sep 17, 2026Yinuo Zhang, Bingshuo Liu, Zhiying Tu +6Multimodal RAG Image Quality Assessment
Harbin Institute of Technology · Tencent · Nanyang Technological University
One-Step Is Optimal: Unconditional Rectified Flows are Noise2Noise Denoisers, and Multi-Step Integration Provably Hurts---A Benchmark and Task-Based Detectability Study on Low-Dose CT
Sep 15, 2026Timothy Sereda, Debesh JhaSelf-Supervised Image Denoising Rectified Flow
Department of Computer Science Biomedical Perception & Intelligence Lab University of South Dakota Vermillion, South Dakota, USA
Learning Steadily: Accumulating Relative Point Margin Scores for Face Image Quality Assessment
Sep 15, 2026Guray Ozgur, Tahar Chettaoui, Eduarda Caldeira +4Image Quality Assessment
Fraunhofer Institute for Computer Graphics Research IGD, Fraunhoferstr. 5, 64283 Darmstadt, Germany · Department of Computer Science at the TU Darmstadt, Karolinenpl. 5, 64289 Darmstadt, Germany
Bridging the Perceptual Gap: Residual-Enhanced Downscaling and Manifold-Aware Perception Alignment Adaptation for NR-IQA
Sep 15, 2026Yu Li, Zhengran Shen, Yachun Mi +2VLM Adaptation Cross-Modal Alignment
Harbin Institute of Technology, Harbin, China.
Automated Perceptually-Motivated Assessment of Photographic Consistency in Paired Clinical Photographs: Pipeline Development and Internal Evaluation
Sep 14, 2026Derrick Lin, Samantha Rabinovich, Joclin Rabinovich +5Image Quality Assessment
Division of Plastic and Reconstructive Surgery, Department of Surgery, David Geffen School of Medicine at UCLA, Los Angeles, California, United States · Cornell University, Ithaca, New York, United States · Tulane University, New Orleans, Louisiana, United States +1
MCIQA-2K: A Multi-Dimensional Dataset and No-Reference Quality Assessment Benchmark for Colorized Images
Sep 13, 2026Yunkai Zhuang, Qihang Yan, Zicheng Zhang +1Image Quality Assessment Image-to-Image Translation
School of Information Science and Technology, ShanghaiTech University, Shanghai 201210, China · Shanghai Artificial Intelligence Laboratory, Shanghai 200232, China · School of Electronics, Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
From Glance to Scrutiny: Progressive Distortion Reasoning for Fine-Grained Image Quality Assessment
Sep 8, 2026Aoting Zhang, Mingze Gao, Dongbao Yang +5Image Quality Assessment
IIE, Chinese Academy of Sciences · University of Chinese Academy of Sciences · Xiaohongshu Inc. +1
AFID: A Unified Open Framework for Automated Fingermark Identification, Quality Assessment and Feature Extraction
Sep 7, 2026Tim Oblak, Rudolf Haraksim, Peter PeerBiometric Identification Image Quality Assessment
Joint Research Centre of the European Commission in Ispra, Italy
From Explicit References to Scene Manifolds: Distributional Fidelity and Realism for Radiance Field Quality Assessment
Sep 7, 2026Saeed Mahmoudpour, Gi-Mun Um, Hyon-Gon Choo +13D Gaussian Splatting Neural Rendering
Vrije Universiteit Brussel, Department of Electronics and Informatics, Belgium · imec, Kapeldreef 75, B-3001 Leuven, Belgium · Electronics and Telecommunications Research Institute (ETRI), Republic of Korea
Beyond Blur: A Semantic Tri-view Pipeline for Teledermatology Gradability via Skin Micro-relief
Sep 2, 2026Robert EngelExplainable Medical Image Analysis Image Quality Assessment
Avalytiq San Francisco, USA
Fine-Grained Anomaly Perception in Wild UGC-Enhanced Images: A Comprehensive Dataset and Difference-Fusion Framework
Sep 2, 2026Yan Zhong, Gefei Chen, Qiufang Ma +4Anomaly Localization Image Quality Assessment
Peking University, Beijing, China · Douyin, ByteDance Inc. · Communication University of China, Beijing, China
Blind Stereoscopic Omnidirectional Image Quality Assessment Using Predictive Coding Hierarchy
Aug 28, 2026Wei Zhou, André KaupImage Quality Assessment
School of Computational and Mathematical Sciences, Cardiff University, CF24 4AG Cardiff, United Kingdom · Chair of Multimedia Communications and Signal Processing, Friedrich-Alexander-Universität Erlangen-Nürnberg, 91058 Erlangen, Germany
Differentiable Jitter Correction using Deep Learning-based Image Quality Metric for Phase-Contrast Micro-CT
Aug 27, 2026Junan Chen, Yiting Jia, Joscha Maier +6Image Reconstruction 3D CNNs
ImFusion GmbH, Ridlerstr. 57, 80339 Munich, Germany. · Research Group Biomedical Imaging Physics, Department of Physics, TUM School of Natural Sciences and Munich Institute of Biomedical Engineering, Technical University of Munich, James-Franck-Str. 1, 85748 Garching, Germany. · Centre for X-Ray and Nano Science CXNS, Deutsches Elektronen-Synchrotron (DESY), Notkestr. 85, 22067 Hamburg, Germany. +1
Image Difference Quantification Using Autoencoder-Based Latent Representations
Aug 25, 2026Manish Sharma, Timothy Yim, Clifton ForlinesImage Quality Assessment Visual Representation Learning
Northeastern University · Northeastern University and the University of Toronto
Bridging Adversarial and Collaborative Learning for AI-Generated Image Quality Assessment
Aug 25, 2026Baoliang Chen, Qing Lin, Sijie MaiImage Quality Assessment Image Generation Evaluation
Department of Computer Science, South China Normal University, China · Department of Data Science and Analytics, Hong Kong University of Science and Technology (Guangzhou)
Local SVD-Entropy Maps as a Complementary Structural Representation for Full-Reference and No-Reference Image Quality Assessment
Aug 23, 2026Andrei Velichko, Petr BoriskovImage Quality Assessment
Institute of Physics and Technology, Petrozavodsk State University, 185910 Petrozavodsk, Russia
Toward Vision Language Model-based Assessment of Clinical Quality and Usability of LGE-MR Images for Cardiac Ablation Planning
Aug 21, 2026Bipasha Kundu, Abhishek Chaturvedi, Axel W. E. Wismueller +2Image Quality Assessment Radiology VLMs
Carlson Centre of Imaging Sceince, RIT, Rochester, NY, USA · Department of Imaging Sciences, University of Rochester Medical Center, NY, USA · Biomedical Engineering, RIT, Rochester, NY, USA

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ScenePercept: Scenario-Conditioned Perceptual Assessment of Real-World User-Generated Content Images

Shuhan Xia, Yu Chen, Xiang Wang, Shuai Li+2

Beijing University of Posts and Telecommunications · Amap, Alibaba Group

Image Quality Assessment

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The rapid development of mobile imaging and social platforms has led to explosive growth in user-generated content images, making their systematic and comprehensive perceptual assessment increasingly important. Existing image perception benchmarks are typically task-oriented, curating specific scenarios for quality or aesthetic assessment and applying a uniform perceptual criterion across diverse scenarios. This limits their ability to capture the scene diversity and perceptual complexity of real-world UGC images. To address these limitations, we introduce ScenePercept-Bench, a benchmark designed to reflect the distribution of real-world UGC images, comprising 23,100 images across 21 categories and 105 fine-grained scenes. To account for the influence of scene context on human perception, we design a hierarchical, scene-aware annotation protocol, covering visual quality, aesthetic perception, and scene semantics, with 15 attributes in total. Each image is annotated with an overall score, 15 attribute-level scores, and structured explanatory reasoning. Building on this benchmark, we further introduce Scenario-Conditioned Perceptual Alignment, a training framework that tackles the heterogeneity of perceptual criteria across scenarios. SCPA jointly optimizes absolute score prediction, preference ranking, and cross-scenario calibration, preserving the model general perceptual assessment ability while encouraging it to explore and adapt perceptual criteria across different scenarios. Extensive experiments demonstrate that SCPA achieves state-of-the-art performance in UGC image perception and generalizes effectively to established IQA and IAA benchmarks.