Image Quality Assessment

Benchmarks archive 2025-07-28

6 leaderboard tables shown for this task, 3 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

16 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

7 subtasks in the archive's task tree.

Most implemented papers archive 2025-07-28

30 shown of 318 papers with code (732 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Conditional Image Synthesis With Auxiliary Classifier GANs
  30 Oct 2016 37 repositories listed Syntology ran 5 of 5 samples · 0 unverified · 5 pointer-only (licence)
  We expand on previous work for image quality assessment to provide two new analyses for assessing the discriminability and diversity of samples from class-conditional image synthesis models.
• The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
  11 Jan 2018 24 repositories listed Syntology ran 2 of 2 samples · 0 unverified
  We systematically evaluate deep features across different architectures and tasks and compare them with classic metrics.
• NIMA: Neural Image Assessment
  15 Sep 2017 12 repositories listed
  Automatically learned quality assessment for images has recently become a hot topic due to its usefulness in a wide variety of applications such as evaluating image capture pipelines, storage techniques and sharing…
• SER-FIQ: Unsupervised Estimation of Face Image Quality Based on Stochastic Embedding Robustness
  20 Mar 2020 5 repositories listed
  Face image quality is an important factor to enable high performance face recognition systems.
• PyTorch Image Quality: Metrics for Image Quality Assessment
  31 Aug 2022 4 repositories listed Syntology ran 0 of 2 samples · 2 unverified
  Image Quality Assessment (IQA) metrics are widely used to quantitatively estimate the extent of image degradation following some forming, restoring, transforming, or enhancing algorithms.
• Evaluation of Retinal Image Quality Assessment Networks in Different Color-spaces
  10 Jul 2019 4 repositories listed
  Retinal image quality assessment (RIQA) is essential for controlling the quality of retinal imaging and guaranteeing the reliability of diagnoses by ophthalmologists or automated analysis systems.
• FetMRQC: a robust quality control system for multi-centric fetal brain MRI
  8 Nov 2023 3 repositories listed
  We present FetMRQC, an open-source machine-learning framework for automated image quality assessment and quality control that is robust to domain shifts induced by the heterogeneity of clinical data.
• FetMRQC: Automated Quality Control for fetal brain MRI
  12 Apr 2023 3 repositories listed
  Quality control (QC) has long been considered essential to guarantee the reliability of neuroimaging studies.
• Attentions Help CNNs See Better: Attention-based Hybrid Image Quality Assessment Network
  22 Apr 2022 3 repositories listed
  Image quality assessment (IQA) algorithm aims to quantify the human perception of image quality.
• An Introduction to Neural Data Compression
  14 Feb 2022 3 repositories listed Syntology ran 0 of 16 samples · 16 unverified
  Neural compression is the application of neural networks and other machine learning methods to data compression.
• Region-Adaptive Deformable Network for Image Quality Assessment
  23 Apr 2021 3 repositories listed
  Image quality assessment (IQA) aims to assess the perceptual quality of images.
• Learning to Resize Images for Computer Vision Tasks
  17 Mar 2021 3 repositories listed
  Moreover, we show that the proposed resizer can also be useful for fine-tuning the classification baselines for other vision tasks.
• Contrastive Explanations in Neural Networks
  1 Aug 2020 3 repositories listed
  Current modes of visual explanations answer questions of the form `Why P?′.
• Image Quality Assessment Guided Deep Neural Networks Training
  13 Aug 2017 3 repositories listed
  For many computer vision problems, the deep neural networks are trained and validated based on the assumption that the input images are pristine (i.
• Deep Learning-based Compression Detection for explainable Face Image Quality Assessment
  7 Jan 2025 2 repositories listed
  Subsequently, the PSNR and SSIM metrics are employed to obtain training labels based on which neural networks are trained using a single network to detect JPEG and JPEG 2000 artefacts, respectively.
• A study on the adequacy of common IQA measures for medical images
  29 May 2024 2 repositories listed
  Image quality assessment (IQA) is standard practice in the development stage of novel machine learning algorithms that operate on images.
• A Comprehensive Study of Multimodal Large Language Models for Image Quality Assessment
  16 Mar 2024 2 repositories listed Syntology ran 6 of 7 samples · 1 unverified · 7 pointer-only (licence)
  While Multimodal Large Language Models (MLLMs) have experienced significant advancement in visual understanding and reasoning, their potential to serve as powerful, flexible, interpretable, and text-driven models for…
• Depicting Beyond Scores: Advancing Image Quality Assessment through Multi-modal Language Models
  14 Dec 2023 2 repositories listed
  To build the DepictQA model, we establish a hierarchical task framework, and collect a multi-modal IQA training dataset.
• PKU-I2IQA: An Image-to-Image Quality Assessment Database for AI Generated Images
  27 Nov 2023 2 repositories listed
  Although previous work has established several human perception-based AIGC image quality assessment (AIGCIQA) databases for text-generated images, the AI image generation technology includes scenarios like text-to-image…
• Test Time Adaptation for Blind Image Quality Assessment
  27 Jul 2023 2 repositories listed
  In this work, we introduce two novel quality-relevant auxiliary tasks at the batch and sample levels to enable TTA for blind IQA.
• Deep learning techniques for blind image super-resolution: A high-scale multi-domain perspective evaluation
  15 Jun 2023 2 repositories listed
  Two no-reference metrics were selected, being the classical natural image quality evaluator (NIQE) and the recent transformer-based multi-dimension attention network for no-reference image quality assessment (MANIQA)…
• Re-IQA: Unsupervised Learning for Image Quality Assessment in the Wild
  2 Apr 2023 2 repositories listed Syntology ran 0 of 1 samples · 1 unverified
  To advance research in this field, we propose a Mixture of Experts approach to train two separate encoders to learn high-level content and low-level image quality features in an unsupervised setting.
• QMRNet: Quality Metric Regression for EO Image Quality Assessment and Super-Resolution
  12 Oct 2022 2 repositories listed
  Latest advances in Super-Resolution (SR) have been tested with general purpose images such as faces, landscapes and objects, mainly unused for the task of super-resolving Earth Observation (EO) images.
• Empirical Study of Quality Image Assessment for Synthesis of Fetal Head Ultrasound Imaging with DCGANs
  1 Jun 2022 2 repositories listed
  In this work, we present an empirical study of DCGANs, including hyperparameter heuristics and image quality assessment, as a way to address the scarcity of datasets to investigate fetal head ultrasound.
• MANIQA: Multi-dimension Attention Network for No-Reference Image Quality Assessment
  19 Apr 2022 2 repositories listed Syntology ran 2 of 9 samples · 7 unverified
  No-Reference Image Quality Assessment (NR-IQA) aims to assess the perceptual quality of images in accordance with human subjective perception.
• Robust deep learning for eye fundus images: Bridging real and synthetic data for enhancing generalization
  25 Mar 2022 2 repositories listed
  We employed the STARE dataset for external validation, ensuring a comprehensive assessment of the proposed approach.
• Image Quality Assessment using Contrastive Learning
  25 Oct 2021 2 repositories listed Syntology ran 2 of 3 samples · 1 unverified · 3 pointer-only (licence)
  We consider the problem of obtaining image quality representations in a self-supervised manner.
• Illumination-Aware Image Quality Assessment for Enhanced Low-light Image
  22 Oct 2021 2 repositories listed
  To reduce the overshoot effects of LIE, this paper proposes an illumination-aware image quality assessment, called LIE-IQA, for the enhanced low-light images.
• Blindly Assess Quality of In-the-Wild Videos via Quality-aware Pre-training and Motion Perception
  19 Aug 2021 2 repositories listed
  The inaccessibility of reference videos with pristine quality and the complexity of authentic distortions pose great challenges for this kind of blind video quality assessment (BVQA) task.
• MUSIQ: Multi-scale Image Quality Transformer
  12 Aug 2021 2 repositories listed Syntology ran 5 of 6 samples · 1 unverified · 6 pointer-only (licence)
  To accommodate this, the input images are usually resized and cropped to a fixed shape, causing image quality degradation.

Syntology lines on 9 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.