mlsanityData to 14 Oct 2026

Learning Camera-Aware Noise Models

arXiv 2008.09370 ↗First posted 21 Aug 2020cs.CV eess.IVcited by 32

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Abstract (arXiv)

Modeling imaging sensor noise is a fundamental problem for image processing and computer vision applications. While most previous works adopt statistical noise models, real-world noise is far more complicated and beyond what these models can describe. To tackle this issue, we propose a data-driven approach, where a generative noise model is learned from real-world noise. The proposed noise model is camera-aware, that is, different noise characteristics of different camera sensors can be learned simultaneously, and a single learned noise model can generate different noise for different camera sensors. Experimental results show that our method quantitatively and qualitatively outperforms existing statistical noise models and learning-based methods.

Key facts. Cited by 32 papers in the map (data through 14 Oct 2026). First posted on arXiv 21 Aug 2020.

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2021: 4; 2022: 10; 2023: 8; 2024: 4; 2025: 3; 2026: 3.

32 papers.

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  1. 2021Physics-based Noise Modeling for Extreme Low-light Photographycited by 67
  2. 2021Rethinking Noise Synthesis and Modeling in Raw Denoisingcited by 62
  3. 2022Realistic Blur Synthesis for Learning Image Deblurringcited by 53
  4. 2022Dancing under the stars: video denoising in starlightcited by 47
  5. 2021IDR: Self-Supervised Image Denoising via Iterative Data Refinementcited by 36
  6. 2022SELMA: SEmantic Large-scale Multimodal Acquisitions in Variable Weather, Daytime and Viewpointscited by 22
  7. 2023Towards General Low-Light Raw Noise Synthesis and Modelingcited by 19
  8. 2023Stimulating Diffusion Model for Image Denoising via Adaptive Embedding and Ensemblingcited by 17
  9. 2022Estimating Fine-Grained Noise Model via Contrastive Learningcited by 14
  10. 2021Pseudo-ISP: Learning Pseudo In-camera Signal Processing Pipeline from A Color Image Denoisercited by 10
  11. 2023Learning Physics-Informed Noise Models from Dark Frames for Low-Light Raw Image Denoisingcited by 10
  12. 2024LAN: Learning to Adapt Noise for Image Denoisingcited by 10
20 more
  1. 2022Modular Degradation Simulation and Restoration for Under-Display Cameracited by 7
  2. 2025Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusioncited by 7
  3. 2023From Model-Based to Data-Driven Simulation: Challenges and Trends in Autonomous Drivingcited by 6
  4. 2022Learning Task-Oriented Flows to Mutually Guide Feature Alignment in Synthesized and Real Video Denoisingcited by 5
  5. 2023Recurrent Spike-based Image Restoration under General Illuminationcited by 5
  6. 2022Generalized Product-of-Experts for Learning Multimodal Representations in Noisy Environmentscited by 4
  7. 2023NoiseTransfer: Image Noise Generation with Contrastive Embeddingscited by 4
  8. 2022Self-supervision versus synthetic datasets: which is the lesser evil in the context of video denoising?cited by 3
  9. 2023Robust estimation of exposure ratios in multi-exposure image stackscited by 3
  10. 2024Beyond Image Prior: Embedding Noise Prior into Conditional Denoising Transformercited by 3
  11. 2026RL-AWB: Deep Reinforcement Learning for Auto White Balance Correction in Low-Light Night-time Scenescited by 2
  12. 2024MSSIDD: A Benchmark for Multi-Sensor Denoisingcited by 1
  13. 2025Towards a Universal Image Degradation Model via Content-Degradation Disentanglementcited by 1
  14. 2022Towards Real-World Video Denosing: A Practical Video Denosing Dataset and Networkcited by 0
  15. 2022Learn to See Faster: Pushing the Limits of High-Speed Camera with Deep Underexposed Image Denoisingcited by 0
  16. 2023NM-FlowGAN: Modeling sRGB Noise without Paired Images using a Hybrid Approach of Normalizing Flows and GANcited by 0
  17. 2024Real-time Noise Source Estimation of a Camera System from an Image and Metadatacited by 0
  18. 2025Hybrid Event Frame Sensors: Modeling, Calibration, and Simulationcited by 0
  19. 2026TIGER: Taming Identity, Geometry, and Generative Priors for High-Quality Face Video Restorationcited by 0
  20. 2026sRGB Real Noise Modeling via Noise-Aware Sampling with Normalizing Flowscited by 0