mlsanityData to 13 Oct 2026

Revisiting Implicit Neural Representations in Low-Level Vision

arXiv 2304.10250 ↗First posted 20 Apr 2023cs.CVcited by 8

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Abstract (arXiv)

Implicit Neural Representation (INR) has been emerging in computer vision in recent years. It has been shown to be effective in parameterising continuous signals such as dense 3D models from discrete image data, e.g. the neural radius field (NeRF). However, INR is under-explored in 2D image processing tasks. Considering the basic definition and the structure of INR, we are interested in its effectiveness in low-level vision problems such as image restoration. In this work, we revisit INR and investigate its application in low-level image restoration tasks including image denoising, super-resolution, inpainting, and deblurring. Extensive experimental evaluations suggest the superior performance of INR in several low-level vision tasks with limited resources, outperforming its counterparts by over 2dB. Code and models are available at https://github.com/WenTXuL/LINR

Key facts. Cited by 8 papers in the map (data through 13 Oct 2026). Builds on 27 of its 34 references that are in the map. First posted on arXiv 20 Apr 2023.

Builds on

27 of 34 references.

References · 27

  1. 2019DeepSDF: Learning Continuous Signed Distance Functions for Shape Representationcited by 2,686
  2. 2020Implicit Neural Representations with Periodic Activation Functionscited by 2,225
  3. 2018Occupancy Networks: Learning 3D Reconstruction in Function Spacecited by 2,039
  4. 2016Context Encoders: Feature Learning by Inpaintingcited by 1,427
  5. 2016Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoisingcited by 1,354
  6. 2017Deep Image Priorcited by 1,097
  7. 2019Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representationscited by 864
  8. 2019PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitizationcited by 818
  9. 2018Generative Image Inpainting with Contextual Attentioncited by 580
  10. 2020Learning Continuous Image Representation with Local Implicit Image Functioncited by 552
  11. 2018Noise2Noise: Learning Image Restoration without Clean Datacited by 529
  12. 2017FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoisingcited by 509
15 more
  1. 2017Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolutioncited by 453
  2. 2018Noise2Void - Learning Denoising from Single Noisy Imagescited by 361
  3. 2016The Little Engine that Could: Regularization by Denoising (RED)cited by 304
  4. 2017"Zero-Shot" Super-Resolution using Deep Internal Learningcited by 285
  5. 2019Noise2Self: Blind Denoising by Self-Supervisioncited by 275
  6. 2019Texture Fields: Learning Texture Representations in Function Spacecited by 210
  7. 2020Adversarial Generation of Continuous Imagescited by 135
  8. 2020Image Generators with Conditionally-Independent Pixel Synthesiscited by 106
  9. 2021Generative Models as Distributions of Functionscited by 89
  10. 2019DeepRED: Deep Image Prior Powered by REDcited by 84
  11. 2018Real-world Noisy Image Denoising: A New Benchmarkcited by 74
  12. 2021UltraSR: Spatial Encoding is a Missing Key for Implicit Image Function-based Arbitrary-Scale Super-Resolutioncited by 57
  13. 2020Spatially-Adaptive Pixelwise Networks for Fast Image Translationcited by 45
  14. 2021Rethinking Deep Image Prior for Denoisingcited by 38
  15. 2016On-Demand Learning for Deep Image Restorationcited by 6

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Cited by year

Citing papers per year: 2023: 1; 2024: 6; 2025: 1.

8 papers.

  1. 2024GaussianImage: 1000 FPS Image Representation and Compression by 2D Gaussian Splattingcited by 99
  2. 2024Boosting Neural Representations for Videos with a Conditional Decodercited by 29
  3. 2024Hyperspectral and multispectral image fusion with arbitrary resolution through self-supervised representationscited by 8
  4. 2023Multi-view Self-supervised Disentanglement for General Image Denoisingcited by 7
  5. 2024Superpixel-informed Implicit Neural Representation for Multi-Dimensional Datacited by 7
  6. 2024Learning Position-Aware Implicit Neural Network for Real-World Face Inpaintingcited by 3
  7. 2024Boosting of Implicit Neural Representation-based Image Denoisercited by 2
  8. 2025Bias for Action: Video Implicit Neural Representations with Bias Modulationcited by 2