mlsanityData to 7 Oct 2026

Invertible Denoising Network: A Light Solution for Real Noise Removal

arXiv 2104.10546 ↗First posted 21 Apr 2021eess.IV cs.CVcited by 68

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Abstract (arXiv)

Invertible networks have various benefits for image denoising since they are lightweight, information-lossless, and memory-saving during back-propagation. However, applying invertible models to remove noise is challenging because the input is noisy, and the reversed output is clean, following two different distributions. We propose an invertible denoising network, InvDN, to address this challenge. InvDN transforms the noisy input into a low-resolution clean image and a latent representation containing noise. To discard noise and restore the clean image, InvDN replaces the noisy latent representation with another one sampled from a prior distribution during reversion. The denoising performance of InvDN is better than all the existing competitive models, achieving a new state-of-the-art result for the SIDD dataset while enjoying less run time. Moreover, the size of InvDN is far smaller, only having 4.2% of the number of parameters compared to the most recently proposed DANet. Further, via manipulating the noisy latent representation, InvDN is also able to generate noise more similar to the original one. Our code is available at: https://github.com/Yang-Liu1082/InvDN.git.

Key facts. Cited by 68 papers in the map (data through 7 Oct 2026). Builds on 29 of its 56 references that are in the map. First posted on arXiv 21 Apr 2021.

Builds on

29 of 56 references.

References · 29

  1. 2014Adam: A Method for Stochastic Optimizationcited by 36,960
  2. 2015U-Net: Convolutional Networks for Biomedical Image Segmentationcited by 19,604
  3. 2015Variational Inference with Normalizing Flowscited by 2,161
  4. 2016Density estimation using Real NVPcited by 2,029
  5. 2018Glow: Generative Flow with Invertible 1x1 Convolutionscited by 1,539
  6. 2016Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoisingcited by 1,352
  7. 2014NICE: Non-linear Independent Components Estimationcited by 1,052
  8. 2017FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoisingcited by 509
  9. 2018Invertible Residual Networkscited by 364
  10. 2020Learning Enriched Features for Real Image Restoration and Enhancementcited by 311
  11. 2018Toward Convolutional Blind Denoising of Real Photographscited by 274
  12. 2018Unprocessing Images for Learned Raw Denoisingcited by 250
17 more
  1. 2017The Reversible Residual Network: Backpropagation Without Storing Activationscited by 215
  2. 2017Benchmarking Denoising Algorithms with Real Photographscited by 209
  3. 2015Trainable Nonlinear Reaction Diffusion: A Flexible Framework for Fast and Effective Image Restorationcited by 194
  4. 2019Real Image Denoising with Feature Attentioncited by 176
  5. 2019Guided Image Generation with Conditional Invertible Neural Networkscited by 147
  6. 2018i-RevNet: Deep Invertible Networkscited by 137
  7. 2019Variational Denoising Network: Toward Blind Noise Modeling and Removalcited by 117
  8. 2019Noise Flow: Noise Modeling with Conditional Normalizing Flowscited by 108
  9. 2020Dual Adversarial Network: Toward Real-world Noise Removal and Noise Generationcited by 101
  10. 2020Transfer Learning from Synthetic to Real-Noise Denoising with Adaptive Instance Normalizationcited by 92
  11. 2020Invertible Image Rescalingcited by 92
  12. 2018A Trilateral Weighted Sparse Coding Scheme for Real-World Image Denoisingcited by 42
  13. 2019GRDN:Grouped Residual Dense Network for Real Image Denoising and GAN-based Real-world Noise Modelingcited by 33
  14. 2020Are Deep Neural Architectures Losing Information? Invertibility Is Indispensablecited by 9
  15. 2016Blind Image Denoising via Dependent Dirichlet Process Treecited by 5
  16. 2020Identity Enhanced Residual Image Denoisingcited by 4
  17. 2019Pyramid Real Image Denoising Networkcited by 3

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 7; 2022: 21; 2023: 20; 2024: 12; 2025: 6; 2026: 2.

68 papers.

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  1. 2021Low-Light Image Enhancement with Normalizing Flowcited by 184
  2. 2023Image Denoising: The Deep Learning Revolution and Beyond -- A Survey Paper --cited by 71
  3. 2022Towards Blind Watermarking: Combining Invertible and Non-invertible Mechanismscited by 61
  4. 2023Instance Segmentation in the Darkcited by 45
  5. 2023SepMark: Deep Separable Watermarking for Unified Source Tracing and Deepfake Detectioncited by 43
  6. 2023Reversible Vision Transformerscited by 33
  7. 2023Unsupervised Image Denoising in Real-World Scenarios via Self-Collaboration Parallel Generative Adversarial Branchescited by 29
  8. 2021Learning Bounds for Open-Set Learningcited by 27
  9. 2022Adaptive Dynamic Filtering Network for Image Denoisingcited by 27
  10. 2023Diffusion Model for Generative Image Denoisingcited by 27
  11. 2022Variational Deep Image Restorationcited by 24
  12. 2021Fusing Higher-order Features in Graph Neural Networks for Skeleton-based Action Recognitioncited by 22
38 more
  1. 2023Large-capacity and Flexible Video Steganography via Invertible Neural Networkcited by 20
  2. 2022Re^2TAL: Rewiring Pretrained Video Backbones for Reversible Temporal Action Localizationcited by 19
  3. 2022Perceptual Image Enhancement for Smartphone Real-Time Applicationscited by 18
  4. 2023Exploring Efficient Asymmetric Blind-Spots for Self-Supervised Denoising in Real-World Scenarioscited by 17
  5. 2022CharFormer: A Glyph Fusion based Attentive Framework for High-precision Character Image Denoisingcited by 16
  6. 2022Invertible Rescaling Network and Its Extensionscited by 15
  7. 2022D2HNet: Joint Denoising and Deblurring with Hierarchical Network for Robust Night Image Restorationcited by 14
  8. 2022RCRN: Real-world Character Image Restoration Network via Skeleton Extractioncited by 12
  9. 2022Imperceptible Adversarial Attack via Invertible Neural Networkscited by 12
  10. 2024Invertible Diffusion Models for Compressed Sensingcited by 12
  11. 2025Time-Aware Auto White Balance in Mobile Photographycited by 10
  12. 2024Rethinking Transformer-Based Blind-Spot Network for Self-Supervised Image Denoisingcited by 9
  13. 2023Neural Lens Modelingcited by 7
  14. 2023A Comparison of Image Denoising Methodscited by 7
  15. 2021A Compact Neural Network-based Algorithm for Robust Image Watermarkingcited by 6
  16. 2022Improving Question Answering over Knowledge Graphs Using Graph Summarizationcited by 6
  17. 2022Optimizing Image Compression via Joint Learning with Denoisingcited by 6
  18. 2022Invertible Monotone Operators for Normalizing Flowscited by 6
  19. 2023Learning Many-to-Many Mapping for Unpaired Real-World Image Super-resolution and Downscalingcited by 6
  20. 2024Plug-and-Play Tri-Branch Invertible Block for Image Rescalingcited by 6
  21. 2022ELMformer: Efficient Raw Image Restoration with a Locally Multiplicative Transformercited by 5
  22. 2025Mitigating Long-tail Distribution in Oracle Bone Inscriptions: Dataset, Model, and Benchmarkcited by 5
  23. 2024Image Denoising Using Green Channel Priorcited by 4
  24. 2021FINO: Flow-based Joint Image and Noise Modelcited by 3
  25. 2022Priors in Deep Image Restoration and Enhancement: A Surveycited by 3
  26. 2022Self Supervised Low Dose Computed Tomography Image Denoising Using Invertible Network Exploiting Inter Slice Congruencecited by 3
  27. 2023A Generative Model for Digital Camera Noise Synthesiscited by 3
  28. 2024Dr2Net: Dynamic Reversible Dual-Residual Networks for Memory-Efficient Finetuningcited by 3
  29. 2021CAR -- Cityscapes Attributes Recognition A Multi-category Attributes Dataset for Autonomous Vehiclescited by 2
  30. 2022Thunder: Thumbnail based Fast Lightweight Image Denoising Networkcited by 2
  31. 2022CFNet: Conditional Filter Learning with Dynamic Noise Estimation for Real Image Denoisingcited by 2
  32. 2023UGPNet: Universal Generative Prior for Image Restorationcited by 2
  33. 2024Approximately Invertible Neural Network for Learned Image Compressioncited by 2
  34. 2021Reinforcement Learning of Self Enhancing Camera Image and Signal Processingcited by 1
  35. 2022GlideNet: Global, Local and Intrinsic based Dense Embedding NETwork for Multi-category Attributes Predictioncited by 1
  36. 2022Real Image Restoration via Structure-preserving Complementarity Attentioncited by 1
  37. 2023Hierarchical Disentangled Representation for Invertible Image Denoising and Beyondcited by 1
  38. 2023DECDM: Document Enhancement using Cycle-Consistent Diffusion Modelscited by 1

50 most cited of 68 All 68 (JSON)