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Learning a Spatial Activation Function for Efficient Image Restoration
Python MATLAB
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denoising
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README.md

README.md

xUnit

Learning a Spatial Activation Function for Efficient Image Restoration.

Please refer our paper for more details.

Dependencies

  • python (tested with 3.5)
  • PyTorch >= 0.2.0

Code

Clone this repository into any place you want.

git clone https://github.com/kligvasser/xUnit
cd xUnit

Results

Gaussian Denoising

The average PSNR in [dB] attained by several state of the art denoising algorithms on the BSD68:

Methods BM3D WNNM EPLL MLP DnCNN-S xDnCNN
# Parameters - - - - 555K 303K
σ=25 28.56 28.82 28.68 28.95 29.22 29.21
σ=50 25.62 25.87 25.67 26.01 26.23 26.26

Single Image Super Resolution

The average PSNR in [dB] attained in the task of 3× and 4× SR on BSD100 dataset:

Methods SRCNN xSRCNNc xSRCNNf SRResNet xSRResNet
# Parameters 57K 44K 32K 1.546M 1.155M
28.41 28.54 28.53 - -
26.90 27.04 27.06 27.58 27.61
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