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Scanned_document_denoise_reconstruct

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to-be commited on Oct 16, 2023

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Update app.py

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@@ -20,7 +20,7 @@ title = "Restormer"
 description = """
 Gradio demo for reconstruction of noisy scanned, photocopied documents\n
 using <b>Restormer: Efficient Transformer for High-Resolution Image Restoration</b>, CVPR 2022--ORAL. <a href='https://arxiv.org/abs/2111.09881'>[Paper]</a><a href='https://github.com/swz30/Restormer'>[Github Code]</a>\n
-<a href='https://medium.com/towards-data-science/effective-data-augmentation-for-ocr-8013080aa9fa'>[See my article for more details]</a>\n
 <b> Note:</b> Since this demo uses CPU, by default it will run on the downsampled version of the input image (for speedup).
 """

 description = """
 Gradio demo for reconstruction of noisy scanned, photocopied documents\n
 using <b>Restormer: Efficient Transformer for High-Resolution Image Restoration</b>, CVPR 2022--ORAL. <a href='https://arxiv.org/abs/2111.09881'>[Paper]</a><a href='https://github.com/swz30/Restormer'>[Github Code]</a>\n
+<a href='https://toon-beerten.medium.com/denoising-and-reconstructing-dirty-documents-for-optimal-digitalization-ed3a186aa3d6'>[See my article for more details]</a>\n
 <b> Note:</b> Since this demo uses CPU, by default it will run on the downsampled version of the input image (for speedup).
 """