mlsanityData to 7 Oct 2026

Dual Residual Networks Leveraging the Potential of Paired Operations for Image Restoration

arXiv 1903.08817 ↗First posted 21 Mar 2019cs.CVcited by 73

Not on the map. Why?

Abstract (arXiv)

In this paper, we study design of deep neural networks for tasks of image restoration. We propose a novel style of residual connections dubbed "dual residual connection", which exploits the potential of paired operations, e.g., up- and down-sampling or convolution with large- and small-size kernels. We design a modular block implementing this connection style; it is equipped with two containers to which arbitrary paired operations are inserted. Adopting the "unraveled" view of the residual networks proposed by Veit et al., we point out that a stack of the proposed modular blocks allows the first operation in a block interact with the second operation in any subsequent blocks. Specifying the two operations in each of the stacked blocks, we build a complete network for each individual task of image restoration. We experimentally evaluate the proposed approach on five image restoration tasks using nine datasets. The results show that the proposed networks with properly chosen paired operations outperform previous methods on almost all of the tasks and datasets.

Key facts. Cited by 73 papers in the map (data through 7 Oct 2026). First posted on arXiv 21 Mar 2019.

Builds on

No reference list yet.

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 10; 2022: 11; 2023: 15; 2024: 15; 2025: 13; 2026: 9.

73 papers.

Sort:

By area:

  1. 2021Restormer: Efficient Transformer for High-Resolution Image Restorationcited by 1,618
  2. 2021Uformer: A General U-Shaped Transformer for Image Restorationcited by 864
  3. 2022MAXIM: Multi-Axis MLP for Image Processingcited by 301
  4. 2022Restoring Vision in Adverse Weather Conditions with Patch-Based Denoising Diffusion Modelscited by 215
  5. 2024InstructIR: High-Quality Image Restoration Following Human Instructionscited by 139
  6. 2021Spatially-Adaptive Image Restoration using Distortion-Guided Networkscited by 77
  7. 2024Restoring Images in Adverse Weather Conditions via Histogram Transformercited by 73
  8. 2023Residual Denoising Diffusion Modelscited by 68
  9. 2023GridFormer: Residual Dense Transformer with Grid Structure for Image Restoration in Adverse Weather Conditionscited by 62
  10. 2023WaveDM: Wavelet-Based Diffusion Models for Image Restorationcited by 46
  11. 2023Explicit Attention-Enhanced Fusion for RGB-Thermal Perception Taskscited by 41
  12. 2023Towards Unified Deep Image Deraining: A Survey and A New Benchmarkcited by 34
38 more
  1. 2022Variational Deep Image Restorationcited by 24
  2. 2024Teaching Tailored to Talent: Adverse Weather Restoration via Prompt Pool and Depth-Anything Constraintcited by 24
  3. 2022Neural Compression-Based Feature Learning for Video Restorationcited by 23
  4. 2021A survey on computational spectral reconstruction methods from RGB to hyperspectral imagingcited by 20
  5. 2023Resfusion: Denoising Diffusion Probabilistic Models for Image Restoration Based on Prior Residual Noisecited by 19
  6. 2024Seeing the Unseen: A Frequency Prompt Guided Transformer for Image Restorationcited by 18
  7. 2024LoRA-IR: Taming Low-Rank Experts for Efficient All-in-One Image Restorationcited by 18
  8. 2021Towards Domain Invariant Single Image Dehazingcited by 17
  9. 2023TextIR: A Simple Framework for Text-based Editable Image Restorationcited by 17
  10. 2024Raindrop Clarity: A Dual-Focused Dataset for Day and Night Raindrop Removalcited by 17
  11. 2023Networks are Slacking Off: Understanding Generalization Problem in Image Derainingcited by 14
  12. 2022Snow Mask Guided Adaptive Residual Network for Image Snow Removalcited by 13
  13. 2024All-in-one Weather-degraded Image Restoration via Adaptive Degradation-aware Self-prompting Modelcited by 13
  14. 2023Exploring the Application of Large-scale Pre-trained Models on Adverse Weather Removalcited by 12
  15. 2023Always Clear Days: Degradation Type and Severity Aware All-In-One Adverse Weather Removalcited by 11
  16. 2024CFMW: Cross-modality Fusion Mamba for Robust Object Detection under Adverse Weathercited by 8
  17. 2021End-to-End Unsupervised Document Image Blind Denoisingcited by 7
  18. 2021Matching in the Dark: A Dataset for Matching Image Pairs of Low-light Scenescited by 7
  19. 2022Learning Enriched Illuminants for Cross and Single Sensor Color Constancycited by 7
  20. 2025DEAL: Data-Efficient Adversarial Learning for High-Quality Infrared Imagingcited by 7
  21. 2021Non-Homogeneous Haze Removal via Artificial Scene Prior and Bidimensional Graph Reasoningcited by 6
  22. 2023EGVD: Event-Guided Video Derainingcited by 6
  23. 2025MODEM: A Morton-Order Degradation Estimation Mechanism for Adverse Weather Image Recoverycited by 6
  24. 2024Learning Efficient and Effective Trajectories for Differential Equation-based Image Restorationcited by 5
  25. 2024Deep Variational Bayesian Modeling of Haze Degradation Processcited by 5
  26. 2022Robust Single Image Dehazing Based on Consistent and Contrast-Assisted Reconstructioncited by 4
  27. 2023Restoring Images Captured in Arbitrary Hybrid Adverse Weather Conditions in One Gocited by 4
  28. 2024Learning to Translate Noise for Robust Image Denoisingcited by 4
  29. 2025Revisiting the Generalization Problem of Low-level Vision Models Through the Lens of Image Derainingcited by 4
  30. 2025Devil is in the Uniformity: Exploring Diverse Learners within Transformer for Image Restorationcited by 4
  31. 2025Fast and Accurate Image Restoration and Generation with Rank Enhanced Linear Attentioncited by 3
  32. 2025Global Modeling Matters: A Fast, Lightweight and Effective Baseline for Efficient Image Restorationcited by 3
  33. 2021Searching Efficient Model-guided Deep Network for Image Denoisingcited by 2
  34. 2022Compound Multi-branch Feature Fusion for Real Image Restorationcited by 2
  35. 2022Deep Semantic Statistics Matching (D2SM) Denoising Networkcited by 2
  36. 2023Contrastive Learning Based Recursive Dynamic Multi-Scale Network for Image Derainingcited by 2
  37. 2022Light Field Raindrop Removal via 4D Re-samplingcited by 1
  38. 2024Empowering Image Recovery_ A Multi-Attention Approachcited by 1

50 most cited of 73 All 73 (JSON)