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Burst Denoising with Kernel Prediction Networks

arXiv 1712.02327 ↗First posted 6 Dec 2017cs.CVcited by 157

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Abstract (arXiv)

We present a technique for jointly denoising bursts of images taken from a handheld camera. In particular, we propose a convolutional neural network architecture for predicting spatially varying kernels that can both align and denoise frames, a synthetic data generation approach based on a realistic noise formation model, and an optimization guided by an annealed loss function to avoid undesirable local minima. Our model matches or outperforms the state-of-the-art across a wide range of noise levels on both real and synthetic data.

Key facts. Cited by 157 papers in the map (data through 14 Oct 2026). First posted on arXiv 6 Dec 2017.

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Citing papers per year: 2021: 34; 2022: 35; 2023: 41; 2024: 27; 2025: 11; 2026: 9.

157 papers.

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  1. 2021NeRF in the Dark: High Dynamic Range View Synthesis from Noisy Raw Imagescited by 336
  2. 2021TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Upcited by 162
  3. 2021Invertible Image Signal Processingcited by 94
  4. 2021LAPAR: Linearly-Assembled Pixel-Adaptive Regression Network for Single Image Super-Resolution and Beyondcited by 88
  5. 2021Iterative Filter Adaptive Network for Single Image Defocus Deblurringcited by 86
  6. 2023Image Denoising: The Deep Learning Revolution and Beyond -- A Survey Paper --cited by 71
  7. 2022A Simple Baseline for Video Restoration with Grouped Spatial-temporal Shiftcited by 68
  8. 2021Physics-based Noise Modeling for Extreme Low-light Photographycited by 67
  9. 2021Burst Image Restoration and Enhancementcited by 64
  10. 2021Mobile Computational Photography: A Tourcited by 62
  11. 2021Rethinking Noise Synthesis and Modeling in Raw Denoisingcited by 62
  12. 2021Deep Gaussian Scale Mixture Prior for Spectral Compressive Imagingcited by 58
38 more
  1. 2021Adaptive Unfolding Total Variation Network for Low-Light Image Enhancementcited by 55
  2. 2022Omni-Dimensional Dynamic Convolutioncited by 55
  3. 2022NAN: Noise-Aware NeRFs for Burst-Denoisingcited by 48
  4. 2022Dancing under the stars: video denoising in starlightcited by 47
  5. 2022Learning for Vehicle-to-Vehicle Cooperative Perception under Lossy Communicationcited by 47
  6. 2022Learning to Deblur using Light Field Generated and Real Defocus Imagescited by 46
  7. 2021Deep Reparametrization of Multi-Frame Super-Resolution and Denoisingcited by 39
  8. 2021DWDN: Deep Wiener Deconvolution Network for Non-Blind Image Deblurringcited by 36
  9. 2021IDR: Self-Supervised Image Denoising via Iterative Data Refinementcited by 36
  10. 2024RobustSAM: Segment Anything Robustly on Degraded Imagescited by 36
  11. 2024Restore-RWKV: Efficient and Effective Medical Image Restoration with RWKVcited by 36
  12. 2022MISF: Multi-level Interactive Siamese Filtering for High-Fidelity Image Inpaintingcited by 35
  13. 2022Learning Degradation Representations for Image Deblurringcited by 35
  14. 2023Aleth-NeRF: Illumination Adaptive NeRF with Concealing Field Assumptioncited by 35
  15. 2023KBNet: Kernel Basis Network for Image Restorationcited by 33
  16. 2023Burstormer: Burst Image Restoration and Enhancement Transformercited by 32
  17. 2021Removing Diffraction Image Artifacts in Under-Display Camera via Dynamic Skip Connection Networkcited by 31
  18. 2023MM-BSN: Self-Supervised Image Denoising for Real-World with Multi-Mask based on Blind-Spot Networkcited by 30
  19. 2021Event-guided Deblurring of Unknown Exposure Time Videoscited by 26
  20. 2023Leveraging Inpainting for Single-Image Shadow Removalcited by 25
  21. 2022Unidirectional Video Denoising by Mimicking Backward Recurrent Modules with Look-ahead Forward Onescited by 24
  22. 2023ParamISP: Learned Forward and Inverse ISPs using Camera Parameterscited by 23
  23. 2024Factorized Diffusion: Perceptual Illusions by Noise Decompositioncited by 23
  24. 2021NTIRE 2021 Challenge on Burst Super-Resolution: Methods and Resultscited by 22
  25. 2023A Unified Conditional Framework for Diffusion-based Image Restorationcited by 22
  26. 2023Diffusion in the Dark: A Diffusion Model for Low-Light Text Recognitioncited by 20
  27. 2023Towards General Low-Light Raw Noise Synthesis and Modelingcited by 19
  28. 2025Frequency Dynamic Convolution for Dense Image Predictioncited by 19
  29. 2021Joint Denoising and Demosaicking with Green Channel Prior for Real-world Burst Imagescited by 18
  30. 2023S2R-ViT for Multi-Agent Cooperative Perception: Bridging the Gap from Simulation to Realitycited by 18
  31. 2021JPGNet: Joint Predictive Filtering and Generative Network for Image Inpaintingcited by 17
  32. 2022Self-Supervised Image Restoration with Blurry and Noisy Pairscited by 17
  33. 2021Passive Inter-Photon Imagingcited by 16
  34. 2022Consistent Direct Time-of-Flight Video Depth Super-Resolutioncited by 16
  35. 2023Neural Spline Fields for Burst Image Fusion and Layer Separationcited by 16
  36. 2022Efficient Burst Raw Denoising with Variance Stabilization and Multi-frequency Denoising Networkcited by 15
  37. 2023LLDiffusion: Learning Degradation Representations in Diffusion Models for Low-Light Image Enhancementcited by 15
  38. 2021GridDehazeNet+: An Enhanced Multi-Scale Network with Intra-Task Knowledge Transfer for Single Image Dehazingcited by 14

50 most cited of 157 All 157 (JSON)