mlsanityData to 7 Oct 2026

Blind Super-Resolution With Iterative Kernel Correction

arXiv 1904.03377 ↗First posted 6 Apr 2019cs.CVcited by 203

Not on the map. Why?

Cited by 22 in Diffusion models, but placed by its own abstract, which didn’t fit.

Abstract (arXiv)

Deep learning based methods have dominated super-resolution (SR) field due to their remarkable performance in terms of effectiveness and efficiency. Most of these methods assume that the blur kernel during downsampling is predefined/known (e.g., bicubic). However, the blur kernels involved in real applications are complicated and unknown, resulting in severe performance drop for the advanced SR methods. In this paper, we propose an Iterative Kernel Correction (IKC) method for blur kernel estimation in blind SR problem, where the blur kernels are unknown. We draw the observation that kernel mismatch could bring regular artifacts (either over-sharpening or over-smoothing), which can be applied to correct inaccurate blur kernels. Thus we introduce an iterative correction scheme -- IKC that achieves better results than direct kernel estimation. We further propose an effective SR network architecture using spatial feature transform (SFT) layers to handle multiple blur kernels, named SFTMD. Extensive experiments on synthetic and real-world images show that the proposed IKC method with SFTMD can provide visually favorable SR results and the state-of-the-art performance in blind SR problem.

Key facts. Cited by 203 papers in the map (data through 7 Oct 2026). First posted on arXiv 6 Apr 2019.

Builds on

No reference list yet.

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 46; 2022: 49; 2023: 36; 2024: 43; 2025: 22; 2026: 7.

203 papers.

Sort:

By area:

  1. 2021Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Datacited by 961
  2. 2021Designing a Practical Degradation Model for Deep Blind Image Super-Resolutioncited by 524
  3. 2024Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wildcited by 281
  4. 2023Pixel-Aware Stable Diffusion for Realistic Image Super-resolution and Personalized Stylizationcited by 251
  5. 2021Unsupervised Degradation Representation Learning for Blind Super-Resolutioncited by 177
  6. 2021Investigating Tradeoffs in Real-World Video Super-Resolutioncited by 133
  7. 2022Real-World Blind Super-Resolution via Feature Matching with Implicit High-Resolution Priorscited by 98
  8. 2022Efficient and Degradation-Adaptive Network for Real-World Image Super-Resolutioncited by 96
  9. 2021Blind Image Super-Resolution: A Survey and Beyondcited by 93
  10. 2021Flow-based Kernel Prior with Application to Blind Super-Resolutioncited by 74
  11. 2022Swin2SR: SwinV2 Transformer for Compressed Image Super-Resolution and Restorationcited by 72
  12. 2021Real-World Single Image Super-Resolution: A Brief Reviewcited by 65
38 more
  1. 2023Masked Image Training for Generalizable Deep Image Denoisingcited by 57
  2. 2021Mutual Affine Network for Spatially Variant Kernel Estimation in Blind Image Super-Resolutioncited by 52
  3. 2021NTIRE 2021 Challenge on Image Deblurringcited by 49
  4. 2022Deep Constrained Least Squares for Blind Image Super-Resolutioncited by 47
  5. 2021Deep Learning for HDR Imaging: State-of-the-Art and Future Trendscited by 45
  6. 2021Reflash Dropout in Image Super-Resolutioncited by 41
  7. 2023DeSRA: Detect and Delete the Artifacts of GAN-based Real-World Super-Resolution Modelscited by 41
  8. 2024XPSR: Cross-modal Priors for Diffusion-based Image Super-Resolutioncited by 41
  9. 2024An Intelligent Agentic System for Complex Image Restoration Problemscited by 41
  10. 2024Efficient Real-world Image Super-Resolution Via Adaptive Directional Gradient Convolutioncited by 36
  11. 2025Harnessing Diffusion-Yielded Score Priors for Image Restorationcited by 34
  12. 2021Dual-Camera Super-Resolution with Aligned Attention Modulescited by 33
  13. 2021Blind Image Super-Resolution via Contrastive Representation Learningcited by 32
  14. 2021Removing Diffraction Image Artifacts in Under-Display Camera via Dynamic Skip Connection Networkcited by 31
  15. 2024FaithDiff: Unleashing Diffusion Priors for Faithful Image Super-resolutioncited by 31
  16. 2022Knowledge Distillation based Degradation Estimation for Blind Super-Resolutioncited by 28
  17. 2021Blind Image Super-resolution with Elaborate Degradation Modeling on Noise and Kernelcited by 27
  18. 2022Learning the Degradation Distribution for Blind Image Super-Resolutioncited by 27
  19. 2021Finding Discriminative Filters for Specific Degradations in Blind Super-Resolutioncited by 26
  20. 2024Unsupervised Hyperspectral Image Super-Resolution via Self-Supervised Modality Decouplingcited by 26
  21. 2023Diffusion-based Blind Text Image Super-Resolutioncited by 25
  22. 2022Variational Deep Image Restorationcited by 24
  23. 2023Learning Generative Structure Prior for Blind Text Image Super-resolutioncited by 24
  24. 2022A Closer Look at Blind Super-Resolution: Degradation Models, Baselines, and Performance Upper Boundscited by 22
  25. 2023Image Super-Resolution with Text Prompt Diffusioncited by 22
  26. 2023Crafting Training Degradation Distribution for the Accuracy-Generalization Trade-off in Real-World Super-Resolutioncited by 21
  27. 2024HSIGene: A Foundation Model For Hyperspectral Image Generationcited by 21
  28. 2025Fine-structure Preserved Real-world Image Super-resolution via Transfer VAE Trainingcited by 21
  29. 2021Discovering Distinctive "Semantics" in Super-Resolution Networkscited by 20
  30. 2022HST: Hierarchical Swin Transformer for Compressed Image Super-resolutioncited by 20
  31. 2022AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Resultscited by 20
  32. 2023Human Guided Ground-truth Generation for Realistic Image Super-resolutioncited by 20
  33. 2024Building Bridges across Spatial and Temporal Resolutions: Reference-Based Super-Resolution via Change Priors and Conditional Diffusion Modelcited by 20
  34. 2021A Systematic Survey of Deep Learning-based Single-Image Super-Resolutioncited by 19
  35. 2022Self-Supervised Learning for Real-World Super-Resolution from Dual Zoomed Observationscited by 19
  36. 2022RepSR: Training Efficient VGG-style Super-Resolution Networks with Structural Re-Parameterization and Batch Normalizationcited by 19
  37. 2023DIPNet: Efficiency Distillation and Iterative Pruning for Image Super-Resolutioncited by 19
  38. 2022Evaluating the Generalization Ability of Super-Resolution Networkscited by 18

50 most cited of 203 All 203 (JSON)