New meme-friendly image and link to demo.
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@@ -19,6 +19,9 @@ The catch? The neural network is hallucinating details based on its training fro
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.. image:: docs/EnhanceCSI_example.png
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:target: http://5.9.70.47:4141/w/8581db92-9d61-11e6-990b-c86000be451f/view
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1. Examples & Usage
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===================
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@@ -104,6 +107,7 @@ After this, you should have ``pillow``, ``theano`` and ``lasagne`` installed in
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.. image:: docs/Faces_example.png
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**Example #3** — Specialized super-resolution for faces, trained on HD examples of celebrity faces only. The quality is significantly higher when narrowing the domain from "photos" in general.
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3. Background & Research
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========================
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@@ -115,6 +119,12 @@ This code uses a combination of techniques from the following papers, as well as
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3. `Deeply-Recursive Convolutional Network for Image Super-Resolution <https://arxiv.org/abs/1511.04491>`_
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4. `Photo-Realistic Super-Resolution Using a Generative Adversarial Network <https://arxiv.org/abs/1609.04802>`_
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Special thanks for their help in various ways:
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* Eder Santana — Support and encouragement, feedback and ideas on `sub-pixel deconvolution <https://github.com/Tetrachrome/subpixel>`_.
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* Andrew Brock — This sub-pixel layer code is based on `his project repository <https://github.com/ajbrock/Neural-Photo-Editor>`_.
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* Casper Kaae Sønderby — For suggesting a more stable alternative to sigmoid + log.
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4. Troubleshooting Problems
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===========================
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@@ -152,7 +162,7 @@ It seems your terminal is misconfigured and not compatible with the way Python t
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.. image:: docs/Chinatown_example.gif
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**Example #3** — China Town: `view comparison <http://5.9.70.47:4141/w/3b3c8054-9d00-11e6-9558-c86000be451f/view>`_ in 24-bit HD, `original photo <https://flic.kr/p/gnxcXH>`_ CC-BY-SA @cyalex.
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**Example #4** — China Town: `view comparison <http://5.9.70.47:4141/w/3b3c8054-9d00-11e6-9558-c86000be451f/view>`_ in 24-bit HD, `original photo <https://flic.kr/p/gnxcXH>`_ CC-BY-SA @cyalex.
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