mlsanityData to 14 Oct 2026

Deep Learning for Image Super-resolution: A Survey

arXiv 1902.06068 ↗First posted 16 Feb 2019cs.CVcited by 369

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Cited by 46 in Diffusion models, but placed by its own abstract, which didn’t fit.

Abstract (arXiv)

Image Super-Resolution (SR) is an important class of image processing techniques to enhance the resolution of images and videos in computer vision. Recent years have witnessed remarkable progress of image super-resolution using deep learning techniques. This article aims to provide a comprehensive survey on recent advances of image super-resolution using deep learning approaches. In general, we can roughly group the existing studies of SR techniques into three major categories: supervised SR, unsupervised SR, and domain-specific SR. In addition, we also cover some other important issues, such as publicly available benchmark datasets and performance evaluation metrics. Finally, we conclude this survey by highlighting several future directions and open issues which should be further addressed by the community in the future.

Key facts. Cited by 369 papers in the map (data through 14 Oct 2026). First posted on arXiv 16 Feb 2019.

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Citing papers per year: 2021: 71; 2022: 62; 2023: 83; 2024: 60; 2025: 57; 2026: 36.

369 papers.

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  1. 2021Uformer: A General U-Shaped Transformer for Image Restorationcited by 866
  2. 2021Deep Long-Tailed Learning: A Surveycited by 417
  3. 2023SinSR: Diffusion-Based Image Super-Resolution in a Single Stepcited by 238
  4. 2022Learning Enriched Features for Fast Image Restoration and Enhancementcited by 150
  5. 2024TFG: Unified Training-Free Guidance for Diffusion Modelscited by 107
  6. 2024Pixel-level and Semantic-level Adjustable Super-resolution: A Dual-LoRA Approachcited by 97
  7. 2023GALIP: Generative Adversarial CLIPs for Text-to-Image Synthesiscited by 85
  8. 2023Diffusion Models Without Attentioncited by 75
  9. 2024Diffusion Models in Low-Level Vision: A Surveycited by 74
  10. 2021Real-World Single Image Super-Resolution: A Brief Reviewcited by 65
  11. 2021Making Images Real Again: A Comprehensive Survey on Deep Image Compositioncited by 63
  12. 2021Mobile Computational Photography: A Tourcited by 62
38 more
  1. 2024A Survey on All-in-One Image Restoration: Taxonomy, Evaluation and Future Trendscited by 60
  2. 2024Towards Realistic Data Generation for Real-World Super-Resolutioncited by 56
  3. 2025Pixel to Gaussian: Ultra-Fast Continuous Super-Resolution with 2D Gaussian Modelingcited by 48
  4. 2021AdaPool: Exponential Adaptive Pooling for Information-Retaining Downsamplingcited by 47
  5. 2024Image Sculpting: Precise Object Editing with 3D Geometry Controlcited by 45
  6. 2025Ask in Any Modality: A Comprehensive Survey on Multimodal Retrieval-Augmented Generationcited by 42
  7. 2025One Diffusion Step to Real-World Super-Resolution via Flow Trajectory Distillationcited by 41
  8. 2024NTIRE 2024 Challenge on Image Super-Resolution (x4): Methods and Resultscited by 40
  9. 2024Efficient Real-world Image Super-Resolution Via Adaptive Directional Gradient Convolutioncited by 37
  10. 2021Dual-Camera Super-Resolution with Aligned Attention Modulescited by 34
  11. 2022Image Compression with Product Quantized Masked Image Modelingcited by 33
  12. 2021Deep Learning-based Face Super-Resolution: A Surveycited by 32
  13. 2023CuNeRF: Cube-Based Neural Radiance Field for Zero-Shot Medical Image Arbitrary-Scale Super Resolutioncited by 28
  14. 2023Physics-Informed Computer Vision: A Review and Perspectivescited by 28
  15. 2021COMISR: Compression-Informed Video Super-Resolutioncited by 26
  16. 2021Fourier Series Expansion Based Filter Parametrization for Equivariant Convolutionscited by 26
  17. 2024Unveiling Hidden Details: A RAW Data-Enhanced Paradigm for Real-World Super-Resolutioncited by 26
  18. 2022Quality Assessment of Image Super-Resolution: Balancing Deterministic and Statistical Fidelitycited by 24
  19. 2023LLMind: Orchestrating AI and IoT with LLM for Complex Task Executioncited by 24
  20. 2021A Comprehensive Review of Deep Learning-based Single Image Super-resolutioncited by 23
  21. 2023ESSAformer: Efficient Transformer for Hyperspectral Image Super-resolutioncited by 23
  22. 2022Hitchhiker's Guide to Super-Resolution: Introduction and Recent Advancescited by 22
  23. 2025DifIISR: A Diffusion Model with Gradient Guidance for Infrared Image Super-Resolutioncited by 22
  24. 2021Active Fire Detection in Landsat-8 Imagery: a Large-Scale Dataset and a Deep-Learning Studycited by 21
  25. 2022Physics-informed deep-learning applications to experimental fluid mechanicscited by 21
  26. 2022Perception-Oriented Single Image Super-Resolution using Optimal Objective Estimationcited by 21
  27. 2023Unpaired Downscaling of Fluid Flows with Diffusion Bridgescited by 21
  28. 2023A Survey on the Robustness of Computer Vision Models against Common Corruptionscited by 21
  29. 2021Attention in Attention Network for Image Super-Resolutioncited by 20
  30. 2021A Systematic Survey of Deep Learning-based Single-Image Super-Resolutioncited by 19
  31. 2021Multi-Spectral Multi-Image Super-Resolution of Sentinel-2 with Radiometric Consistency Losses and Its Effect on Building Delineationcited by 19
  32. 2022CTCNet: A CNN-Transformer Cooperation Network for Face Image Super-Resolutioncited by 19
  33. 2022Flattening-Net: Deep Regular 2D Representation for 3D Point Cloud Analysiscited by 19
  34. 2023Low-field magnetic resonance image enhancement via stochastic image quality transfercited by 19
  35. 2023Symmetric Uncertainty-Aware Feature Transmission for Depth Super-Resolutioncited by 19
  36. 2023Precipitation Downscaling with Spatiotemporal Video Diffusioncited by 19
  37. 2024Unleashing the Power of One-Step Diffusion based Image Super-Resolution via a Large-Scale Diffusion Discriminatorcited by 19
  38. 2023Continuous Remote Sensing Image Super-Resolution based on Context Interaction in Implicit Function Spacecited by 18

50 most cited of 369 All 369 (JSON)