mlsanityData to 7 Oct 2026

PyTorch Image Quality: Metrics for Image Quality Assessment

arXiv 2208.14818 ↗First posted 31 Aug 2022eess.IV cs.CVcited by 34

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Abstract (arXiv)

Image Quality Assessment (IQA) metrics are widely used to quantitatively estimate the extent of image degradation following some forming, restoring, transforming, or enhancing algorithms. We present PyTorch Image Quality (PIQ), a usability-centric library that contains the most popular modern IQA algorithms, guaranteed to be correctly implemented according to their original propositions and thoroughly verified. In this paper, we detail the principles behind the foundation of the library, describe the evaluation strategy that makes it reliable, provide the benchmarks that showcase the performance-time trade-offs, and underline the benefits of GPU acceleration given the library is used within the PyTorch backend. PyTorch Image Quality is an open source software: https://github.com/photosynthesis-team/piq/.

Key facts. Cited by 34 papers in the map (data through 7 Oct 2026). Builds on 28 of its 90 references that are in the map. First posted on arXiv 31 Aug 2022.

Builds on

28 of 90 references.

References · 28

  1. 2019PyTorch: An Imperative Style, High-Performance Deep Learning Librarycited by 20,160
  2. 2014Very Deep Convolutional Networks for Large-Scale Image Recognitioncited by 15,267
  3. 2018The Unreasonable Effectiveness of Deep Features as a Perceptual Metriccited by 11,029
  4. 2014Going Deeper with Convolutionscited by 4,231
  5. 2016Improved Techniques for Training GANscited by 2,938
  6. 2016Perceptual Losses for Real-Time Style Transfer and Super-Resolutioncited by 2,678
  7. 2016Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Networkcited by 1,898
  8. 2017Enhanced Deep Residual Networks for Single Image Super-Resolutioncited by 1,543
  9. 2018Demystifying MMD GANscited by 1,268
  10. 2016SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model sizecited by 1,054
  11. 2020Image Quality Assessment: Unifying Structure and Texture Similaritycited by 792
  12. 2019KonIQ-10k: An ecologically valid database for deep learning of blind image quality assessmentcited by 351
16 more
  1. 2019Kornia: an Open Source Differentiable Computer Vision Library for PyTorchcited by 231
  2. 2018A Note on the Inception Scorecited by 225
  3. 2019From Patches to Pictures (PaQ-2-PiQ): Mapping the Perceptual Space of Picture Qualitycited by 221
  4. 2015Massive Online Crowdsourced Study of Subjective and Objective Picture Qualitycited by 208
  5. 2013Gradient Magnitude Similarity Deviation: A Highly Efficient Perceptual Image Quality Indexcited by 193
  6. 2020PIPAL: a Large-Scale Image Quality Assessment Dataset for Perceptual Image Restorationcited by 177
  7. 2018PieAPP: Perceptual Image-Error Assessment through Pairwise Preferencecited by 158
  8. 2016A Haar Wavelet-Based Perceptual Similarity Index for Image Quality Assessmentcited by 57
  9. 2018Geometry Score: A Method For Comparing Generative Adversarial Networkscited by 56
  10. 2019The Shape of Data: Intrinsic Distance for Data Distributionscited by 38
  11. 2016Mean Deviation Similarity Index: Efficient and Reliable Full-Reference Image Quality Evaluatorcited by 32
  12. 2020DeepFL-IQA: Weak Supervision for Deep IQA Feature Learningcited by 29
  13. 2020Image Quality Assessment for Perceptual Image Restoration: A New Dataset, Benchmark and Metriccited by 26
  14. 2021NTIRE 2021 Challenge on Perceptual Image Quality Assessmentcited by 18
  15. 2018KonIQ-10k: Towards an ecologically valid and large-scale IQA databasecited by 14
  16. 2022ARCADE: Adversarially Regularized Convolutional Autoencoder for Network Anomaly Detectioncited by 3

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 2; 2023: 10; 2024: 8; 2025: 10; 2026: 4.

34 papers.

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  1. 2024Improving Diffusion Inverse Problem Solving with Decoupled Noise Annealingcited by 157
  2. 2023Parameter-Efficient Fine-Tuning for Medical Image Analysis: The Missed Opportunitycited by 54
  3. 2023A Control-Centric Benchmark for Video Predictioncited by 25
  4. 2023DiffGuard: Semantic Mismatch-Guided Out-of-Distribution Detection using Pre-trained Diffusion Modelscited by 25
  5. 2025Ambient Diffusion Omni: Training Good Models with Bad Datacited by 18
  6. 2024UHD-IQA Benchmark Database: Pushing the Boundaries of Blind Photo Quality Assessmentcited by 16
  7. 2025RBench-V: A Primary Assessment for Visual Reasoning Models with Multi-modal Outputscited by 16
  8. 2022DriftRec: Adapting diffusion models to blind JPEG restorationcited by 15
  9. 2025Color Conditional Generation with Sliced Wasserstein Guidancecited by 10
  10. 2024Self-Supervised Adversarial Diffusion Models for Fast MRI Reconstructioncited by 9
  11. 2022Gemino: Practical and Robust Neural Compression for Video Conferencingcited by 8
  12. 2023Reparo: Loss-Resilient Generative Codec for Video Conferencingcited by 8
22 more
  1. 2024AIM 2024 Challenge on Compressed Video Quality Assessment: Methods and Resultscited by 7
  2. 2023TwinTex: Geometry-aware Texture Generation for Abstracted 3D Architectural Modelscited by 5
  3. 2025A Physics-Informed Deep Learning Model for MRI Brain Motion Correctioncited by 4
  4. 2023Straighter Flow Matching via a Diffusion-Based Coupling Priorcited by 3
  5. 2023Latent Diffusion Models with Image-Derived Annotations for Enhanced AI-Assisted Cancer Diagnosis in Histopathologycited by 3
  6. 2024Perceptual Crack Detection for Rendered 3D Textured Meshescited by 2
  7. 2024Perceptual Fairness in Image Restorationcited by 2
  8. 2025Modeling Beyond MOS: Quality Assessment Models Must Integrate Context, Reasoning, and Multimodalitycited by 2
  9. 2023Many-objective Optimization via Voting for Elitescited by 1
  10. 2025CGVQM+D: Computer Graphics Video Quality Metric and Datasetcited by 1
  11. 2025Exploiting the Exact Denoising Posterior Score in Training-Free Guidance of Diffusion Modelscited by 1
  12. 2025Biology-driven assessment of deep learning super-resolution imaging of the porosity network in dentincited by 1
  13. 2026Analyzing and Guiding Zero-Shot Posterior Sampling in Diffusion Modelscited by 1
  14. 2023Distribution-aware Fairness Test Generationcited by 0
  15. 2023The Challenge of Fetal Cardiac MRI Reconstruction Using Deep Learningcited by 0
  16. 2024Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillationcited by 0
  17. 2024DCRA-Net: Attention-Enabled Reconstruction Model for Dynamic Fetal Cardiac MRIcited by 0
  18. 2025Appeal prediction for AI up-scaled Imagescited by 0
  19. 2025TreeNet: A Light Weight Model for Low Bitrate Image Compressioncited by 0
  20. 2026EvoIQA - Explaining Image Distortions with Evolved White-Box Logiccited by 0
  21. 2026mmAnomaly: Leveraging Visual Context for Robust Anomaly Detection in the Non-Visual World with mmWave Radarcited by 0
  22. 2026AU-Guided Synthetic Video Generation for Micro-Expression Recognitioncited by 0