| # Neural Art |
| |
| |
| This is an implementation of the paper |
| [A Neural Algorithm of Artistic Style](http://arxiv.org/abs/1508.06576) by Leon |
| A. Gatys, Alexander S. Ecker, and Matthias Bethge. |
| |
| Get the source code for this tutorial from [GitHub](https://github.com/dmlc/mxnet/tree/master/example/neural-style). |
| |
| The current implementation is based on the |
| [torch implementation](https://github.com/jcjohnson/neural-style), but we might |
| change it dramatically in the near future. We will release a multi-GPU version soon. |
| |
| ## Run the Model |
| |
| 1. Download the trained model and sample inputs using `download.sh`. |
| |
| 1. Run `python nstyle.py`. To see more options, use `-h`. |
| |
| ## Sample Results |
| |
| <img src=https://github.com/dmlc/web-data/raw/master/mxnet/neural-style/output/4343_starry_night.jpg width=600px> |
| |
| It takes 30 seconds for a Titan X to generate this 600x400 image. |
| |
| |
| ## Next Steps |
| * [MXNet tutorials index](http://mxnet.io/tutorials/index.html) |
