update readme

README.md

@@ -4,14 +4,41 @@ Pix2Pix
 ![screenshot](https://i.imgur.com/xjzPABb.gif)
 ![screenshot](https://i.imgur.com/wnR1jmCm.jpg)
 
-This is a [pix2pix] (image-to-image translation with deep neural network)
-implementation on Unity.
+This is a real-time [pix2pix] (image-to-image translation with deep neural
+network) implementation with Unity. This contains its own implementation of
+inference engine, so it doesn't require installation of other neural network
+frameworks.
+
+[pix2pix]: https://github.com/phillipi/pix2pix
+
+Sketch Pad Demo
+---------------
+
+Sketch Pad is a demonstration that resembles the famous [edges2cats] demo but
+in real time. You can download a pre-built binary from the [Releases] page.
+
+[Video](https://vimeo.com/)
+
+[edges2cats]: https://affinelayer.com/pixsrv/
+[Releases]: https://github.com/keijiro/Pix2Pix/releases
+
+System requrements
+------------------
+
+- Unity 2018.1
+- Compute shader capability (DX11, Metal, Vulkan, etc.)
+
+Although it's implemented in a platform agnostic fashion, many parts of that
+are optimized for NVIDIA GPU architectures. To run the Sketch Pad demo
+flawlessly, it's highly recomended to use GeForce GTX 1070 or greater.
+
+Use Other Models
+----------------
 
 This implementation supports the weight data format used in Christopher Hesse's
 [interactive demo]. Pick one of the [pre-trained models], or you can train your
 own model with using [pix2pix-tensorflow].
 
-[pix2pix]: https://github.com/phillipi/pix2pix
 [interactive demo]: https://affinelayer.com/pixsrv/
 [pre-trained models]: https://github.com/affinelayer/pix2pix-tensorflow-models
 [pix2pix-tensorflow]: https://github.com/affinelayer/pix2pix-tensorflow