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msrn-bam

Transformers
MSRN
super-image
image-super-resolution
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Eugene Siow commited on
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Add fix to line break on README.

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@@ -125,6 +125,7 @@ The results columns below are represented below as `PSNR/SSIM`. They are compare
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  |Urban100 |4x |23.14/0.6573 |**26.10/0.7857** |
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  ![Comparing Bicubic upscaling against the models x4 upscaling on Set5 Image 2](images/msrn_2_4_compare.png "Comparing Bicubic upscaling against the models x4 upscaling on Set5 Image 2")
 
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  You can find a notebook to easily run evaluation on pretrained models below:
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  [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/eugenesiow/super-image-notebooks/blob/master/notebooks/Evaluate_Pretrained_super_image_Models.ipynb "Open in Colab")
 
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  |Urban100 |4x |23.14/0.6573 |**26.10/0.7857** |
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  ![Comparing Bicubic upscaling against the models x4 upscaling on Set5 Image 2](images/msrn_2_4_compare.png "Comparing Bicubic upscaling against the models x4 upscaling on Set5 Image 2")
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  You can find a notebook to easily run evaluation on pretrained models below:
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  [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/eugenesiow/super-image-notebooks/blob/master/notebooks/Evaluate_Pretrained_super_image_Models.ipynb "Open in Colab")