• Corpus ID: 236447849

Adaptive Denoising via GainTuning

@inproceedings{Mohan2021AdaptiveDV,
  title={Adaptive Denoising via GainTuning},
  author={Sreyas Mohan and Joshua L Vincent and Ramon Manzorro and Peter A. Crozier and Eero P. Simoncelli and Carlos Fernandez-Granda},
  booktitle={Neural Information Processing Systems},
  year={2021}
}
Deep convolutional neural networks (CNNs) for image denoising are usually trained on large datasets. These models achieve the current state of the art, but they have difficulties generalizing when applied to data that deviate from the training distribution. Recent work has shown that it is possible to train denoisers on a single noisy image. These models adapt to the features of the test image, but their performance is limited by the small amount of information used to train them. Here we… 

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