New meme-friendly image and link to demo.

main
Alex J. Champandard 9 years ago
parent b1c054ce9f
commit 1c38f2ca31

@ -19,6 +19,9 @@ The catch? The neural network is hallucinating details based on its training fro
|Python Version| |License Type| |Project Stars|
.. image:: docs/EnhanceCSI_example.png
:target: http://5.9.70.47:4141/w/8581db92-9d61-11e6-990b-c86000be451f/view
1. Examples & Usage
===================
@ -104,6 +107,7 @@ After this, you should have ``pillow``, ``theano`` and ``lasagne`` installed in
.. image:: docs/Faces_example.png
**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.
3. Background & Research
========================
@ -115,6 +119,12 @@ This code uses a combination of techniques from the following papers, as well as
3. `Deeply-Recursive Convolutional Network for Image Super-Resolution <https://arxiv.org/abs/1511.04491>`_
4. `Photo-Realistic Super-Resolution Using a Generative Adversarial Network <https://arxiv.org/abs/1609.04802>`_
Special thanks for their help in various ways:
* Eder Santana — Support and encouragement, feedback and ideas on `sub-pixel deconvolution <https://github.com/Tetrachrome/subpixel>`_.
* Andrew Brock — This sub-pixel layer code is based on `his project repository <https://github.com/ajbrock/Neural-Photo-Editor>`_.
* Casper Kaae Sønderby — For suggesting a more stable alternative to sigmoid + log.
4. Troubleshooting Problems
===========================
@ -152,7 +162,7 @@ It seems your terminal is misconfigured and not compatible with the way Python t
.. image:: docs/Chinatown_example.gif
**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.
**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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