mlsanityData to 7 Oct 2026

SUNet: Swin Transformer UNet for Image Denoising

arXiv 2202.14009 ↗First posted 28 Feb 2022eess.IV cs.CV cs.LGcited by 43

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Abstract (arXiv)

Image restoration is a challenging ill-posed problem which also has been a long-standing issue. In the past few years, the convolution neural networks (CNNs) almost dominated the computer vision and had achieved considerable success in different levels of vision tasks including image restoration. However, recently the Swin Transformer-based model also shows impressive performance, even surpasses the CNN-based methods to become the state-of-the-art on high-level vision tasks. In this paper, we proposed a restoration model called SUNet which uses the Swin Transformer layer as our basic block and then is applied to UNet architecture for image denoising. The source code and pre-trained models are available at https://github.com/FanChiMao/SUNet.

Key facts. Cited by 43 papers in the map (data through 7 Oct 2026). Builds on 15 of its 41 references that are in the map. First posted on arXiv 28 Feb 2022.

Builds on

15 of 41 references.

References · 15

  1. 2017Attention Is All You Needcited by 59,932
  2. 2015U-Net: Convolutional Networks for Biomedical Image Segmentationcited by 19,604
  3. 2021Swin Transformer: Hierarchical Vision Transformer using Shifted Windowscited by 12,082
  4. 2017Non-local Neural Networkscited by 2,290
  5. 2021SwinIR: Image Restoration Using Swin Transformercited by 1,869
  6. 2016Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoisingcited by 1,352
  7. 2018Image Super-Resolution Using Very Deep Residual Channel Attention Networkscited by 1,256
  8. 2021Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentationcited by 1,218
  9. 2021Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNetcited by 1,096
  10. 2018Path Aggregation Network for Instance Segmentationcited by 796
  11. 2017FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoisingcited by 509
  12. 2021Contrastive Learning for Compact Single Image Dehazingcited by 219
3 more
  1. 2017Video Frame Interpolation via Adaptive Convolutioncited by 158
  2. 2018Fully Dense UNet for 2D Sparse Photoacoustic Tomography Artifact Removalcited by 56
  3. 2018RA-UNet: A hybrid deep attention-aware network to extract liver and tumor in CT scanscited by 41

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 3; 2023: 13; 2024: 11; 2025: 10; 2026: 6.

43 papers.

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  1. 2023Diffusion Models for Image Restoration and Enhancement: A Comprehensive Surveycited by 108
  2. 2023Generative Semantic Communication: Diffusion Models Beyond Bit Recoverycited by 41
  3. 2023Learning Global-Local Correspondence with Semantic Bottleneck for Logical Anomaly Detectioncited by 21
  4. 2023Real-World Denoising via Diffusion Modelcited by 10
  5. 2023A Comprehensive Study of Object Tracking in Low-Light Environmentscited by 8
  6. 2024A Spatio-temporal Aligned SUNet Model for Low-light Video Enhancementcited by 8
  7. 2025HyPINO: Multi-Physics Neural Operators via HyperPINNs and the Method of Manufactured Solutionscited by 8
  8. 2022Residual Swin Transformer Channel Attention Network for Image Demosaicingcited by 6
  9. 2023Evaluating Similitude and Robustness of Deep Image Denoising Models via Adversarial Attackcited by 6
  10. 2025Learning Multi-scale Spatial-frequency Features for Image Denoisingcited by 6
  11. 2025Degradation-Modeled Multipath Diffusion for Tunable Metalens Photographycited by 5
  12. 2026Extreme Weather Nowcasting via Local Precipitation Pattern Predictioncited by 5
31 more
  1. 2024Bagged Deep Image Prior for Recovering Images in the Presence of Speckle Noisecited by 4
  2. 2024A Mathematical Explanation of UNetcited by 4
  3. 2025Multilook Coherent Imaging: Theoretical Guarantees and Algorithmscited by 4
  4. 2024NeurLZ: An Online Neural Learning-Based Method to Enhance Scientific Lossy Compressioncited by 3
  5. 2024Swap-Net: A Memory-Efficient 2.5D Network for Sparse-View 3D Cone Beam CT Reconstructioncited by 3
  6. 2023ClassLIE: Structure- and Illumination-Adaptive Classification for Low-Light Image Enhancementcited by 2
  7. 2025ADA-Net: Attention-Guided Domain Adaptation Network with Contrastive Learning for Standing Dead Tree Segmentation Using Aerial Imagerycited by 2
  8. 2022Considering Image Information and Self-similarity: A Compositional Denoising Networkcited by 1
  9. 2023A residual dense vision transformer for medical image super-resolution with segmentation-based perceptual loss fine-tuningcited by 1
  10. 2023PLU-Net: Extraction of multi-scale feature fusioncited by 1
  11. 2023DEMIST: A deep-learning-based task-specific denoising approach for myocardial perfusion SPECTcited by 1
  12. 2023Counterfactual Image Generation for adversarially robust and interpretable Classifierscited by 1
  13. 2024Certified PEFTSmoothing: Parameter-Efficient Fine-Tuning with Randomized Smoothingcited by 1
  14. 2024Going Beyond U-Net: Assessing Vision Transformers for Semantic Segmentation in Microscopy Image Analysiscited by 1
  15. 2024Aberration Correcting Vision Transformers for High-Fidelity Metalens Imagingcited by 1
  16. 2025Moir'e Zero: An Efficient and High-Performance Neural Architecture for Moir'e Removalcited by 1
  17. 2025CHEM: Estimating and Understanding Hallucinations in Deep Learning for Image Processingcited by 1
  18. 2022MS-DCANet: A Novel Segmentation Network For Multi-Modality COVID-19 Medical Imagescited by 0
  19. 2023Transformer-Based UNet with Multi-Headed Cross-Attention Skip Connections to Eliminate Artifacts in Scanned Documentscited by 0
  20. 2023LoMAE: Low-level Vision Masked Autoencoders for Low-dose CT Denoisingcited by 0
  21. 2024Deep Learning CT Image Restoration using System Blur and Noise Modelscited by 0
  22. 2024Pushing Joint Image Denoising and Classification to the Edgecited by 0
  23. 2024Untrained Perceptual Loss for image denoising of line-like structures in MR imagescited by 0
  24. 2025Data-driven Mesoscale Weather Forecasting Combining Swin-Unet and Diffusion Modelscited by 0
  25. 2025A Real-time Endoscopic Image Denoising Systemcited by 0
  26. 2025Yuan-TecSwin: A text conditioned Diffusion model with Swin-transformer blockscited by 0
  27. 2026Sim2Real SAR Image Restoration: Metadata-Driven Models for Joint Despeckling and Sidelobes Reductioncited by 0
  28. 2026Zeros can be Informative: Masked Binary U-Net for Image Segmentation on Tensor Corescited by 0
  29. 2026CryoLVM: Self-supervised Learning from Cryo-EM Density Maps with Large Vision Modelscited by 0
  30. 2026Combining Microscopy Data and Metadata for Reconstruction of Cellular Traction Forces Using a Hybrid Vision Transformer-U-Netcited by 0
  31. 2026MC2: Monte Carlo Correction for Fast Elliptic PDE Solvingcited by 0