No-Reference Image Quality Assessment

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

8 leaderboard tables shown for this task, 8 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

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

Subtasks archive 2025-07-28

2 subtasks in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 103 papers with code (155 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.

• 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.
• 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.
• 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.
• 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.
• Task-Specific Normalization for Continual Learning of Blind Image Quality Models
  28 Jul 2021 2 repositories listed
  In this paper, we present a simple yet effective continual learning method for blind image quality assessment (BIQA) with improved quality prediction accuracy, plasticity-stability trade-off, and task-order/-length…
• From Patches to Pictures (PaQ-2-PiQ): Mapping the Perceptual Space of Picture Quality
  20 Dec 2019 2 repositories listed
  Blind or no-reference (NR) perceptual picture quality prediction is a difficult, unsolved problem of great consequence to the social and streaming media industries that impacts billions of viewers daily.
• KonIQ-10k: An ecologically valid database for deep learning of blind image quality assessment
  14 Oct 2019 2 repositories listed Syntology ran 0 of 2 samples · 2 unverified
  Deep learning methods for image quality assessment (IQA) are limited due to the small size of existing datasets.
• No-Reference Quality Assessment of Contrast-Distorted Images using Contrast Enhancement
  18 Apr 2019 2 repositories listed
  No-reference image quality assessment (NR-IQA) aims to measure the image quality without reference image.
• RankIQA: Learning from Rankings for No-reference Image Quality Assessment
  26 Jul 2017 2 repositories listed
  Furthermore, on the LIVE benchmark we show that our approach is superior to existing NR-IQA techniques and that we even outperform the state-of-the-art in full-reference IQA (FR-IQA) methods without having to resort to…
• DGIQA: Depth-guided Feature Attention and Refinement for Generalizable Image Quality Assessment
  29 May 2025 1 repository listed
  A long-held challenge in no-reference image quality assessment (NR-IQA) learning from human subjective perception is the lack of objective generalization to unseen natural distortions.
• Exploring Semantic Feature Discrimination for Perceptual Image Super-Resolution and Opinion-Unaware No-Reference Image Quality Assessment
  25 Mar 2025 1 repository listed Syntology ran 2 of 3 samples · 1 unverified · 3 pointer-only (licence)
  With both Feat-D and TG-D, our SFD can effectively distinguish between the semantic feature distributions of low-quality and high-quality images, encouraging SRN to generate more realistic and semantic-relevant textures.
• Backdoor Attacks against No-Reference Image Quality Assessment Models via a Scalable Trigger
  10 Dec 2024 1 repository listed Syntology ran 3 of 12 samples · 9 unverified · 12 pointer-only (licence)
  To address these challenges, we shift our focus to another significant threat and present a novel poisoning-based backdoor attack against NR-IQA (BAIQA), allowing the attacker to manipulate the IQA model's output to any…
• Dual-Representation Interaction Driven Image Quality Assessment with Restoration Assistance
  26 Nov 2024 1 repository listed
  To address this issue, we first introduce the DRI method to obtain degradation vectors and quality vectors of images, which separately model the degradation and quality information of low-quality images.
• SEAGULL: No-reference Image Quality Assessment for Regions of Interest via Vision-Language Instruction Tuning
  15 Nov 2024 1 repository listed
  The quality analysis of ROIs can provide fine-grained guidance for image quality improvement and is crucial for scenarios focusing on region-level quality.
• AIM 2024 Challenge on UHD Blind Photo Quality Assessment
  24 Sep 2024 1 repository listed
  By pushing the boundaries of NR-IQA for high-resolution photos, the UHD-IQA Challenge aims to stimulate the development of practical models that can keep pace with the rapidly evolving landscape of digital photography.
• Attention Down-Sampling Transformer, Relative Ranking and Self-Consistency for Blind Image Quality Assessment
  11 Sep 2024 1 repository listed
  The no-reference image quality assessment is a challenging domain that addresses estimating image quality without the original reference.
• MobileIQA: Exploiting Mobile-level Diverse Opinion Network For No-Reference Image Quality Assessment Using Knowledge Distillation
  2 Sep 2024 1 repository listed
  With the rising demand for high-resolution (HR) images, No-Reference Image Quality Assessment (NR-IQA) gains more attention, as it can ecaluate image quality in real-time on mobile devices and enhance user experience.
• LAR-IQA: A Lightweight, Accurate, and Robust No-Reference Image Quality Assessment Model
  30 Aug 2024 1 repository listed
  Recent advancements in the field of No-Reference Image Quality Assessment (NR-IQA) using deep learning techniques demonstrate high performance across multiple open-source datasets.
• No-Reference Image Quality Assessment with Global-Local Progressive Integration and Semantic-Aligned Quality Transfer
  7 Aug 2024 1 repository listed
  Accurate measurement of image quality without reference signals remains a fundamental challenge in low-level visual perception applications.
• DSMix: Distortion-Induced Sensitivity Map Based Pre-training for No-Reference Image Quality Assessment
  4 Jul 2024 1 repository listed
  It applies cut and mix operations to diverse categories of synthetic distorted images, assigning confidence scores to class labels based on the aforementioned prior knowledge.
• UHD-IQA Benchmark Database: Pushing the Boundaries of Blind Photo Quality Assessment
  25 Jun 2024 1 repository listed
  We introduce a novel Image Quality Assessment (IQA) dataset comprising 6073 UHD-1 (4K) images, annotated at a fixed width of 3840 pixels.
• DP-IQA: Utilizing Diffusion Prior for Blind Image Quality Assessment in the Wild
  30 May 2024 1 repository listed
  To our knowledge, DP-IQA is the first method to apply pre-trained diffusion priors in blind IQA.
• Adaptive Image Quality Assessment via Teaching Large Multimodal Model to Compare
  29 May 2024 1 repository listed Syntology ran 11 of 16 samples · 5 unverified
  Extensive experiments on nine IQA datasets validate that the Compare2Score effectively bridges text-defined comparative levels during training with converted single image quality score for inference, surpassing…
• Opinion-Unaware Blind Image Quality Assessment using Multi-Scale Deep Feature Statistics
  29 May 2024 1 repository listed
  To bridge these gaps, we propose integrating deep features from pre-trained visual models with a statistical analysis model into a Multi-scale Deep Feature Statistics (MDFS) model for achieving opinion-unaware BIQA…
• Multi-Modal Prompt Learning on Blind Image Quality Assessment
  23 Apr 2024 1 repository listed
  Image Quality Assessment (IQA) models benefit significantly from semantic information, which allows them to treat different types of objects distinctly.
• Defense Against Adversarial Attacks on No-Reference Image Quality Models with Gradient Norm Regularization
  18 Mar 2024 1 repository listed Syntology ran 1 of 4 samples · 3 unverified
  To be specific, we present theoretical evidence showing that the magnitude of score changes is related to the ℓ₁ norm of the model's gradient with respect to the input image.

Syntology lines on 8 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.