Generating books from GANs trained on bitmaps of words
For NaNoGenMo 2019, I trained a suite of GANs on bitmaps of English words and then generated a book using samples from the latent space of those GANs.
Download a full novel (~100MB PDF) resulting from this process, entitled (based on optical character recognition of the title page) Ahe Thd Yearidy Ti Isa. You can also browse an online gallery of the book.
Each of the words in the novel was generated from a normally-distributed random vector. I produced a second book where each word was generated from steps along interpolations between many pairs of randomly-selected points in the latent space. That book of interpolations is also downloadable (~18MB PDF), or available as an online gallery of images.
In this repository, find the Jupyter Notebook with code to generate books from the GANs I trained. The code I used to train the GANs is available in a separate repository. The pre-trained models are also available for download.
The font I used when training the GAN is Cardo.
The output is licensed under CC BY-SA.
The source code carries the MIT License:
Copyright (c) 2019 Allison Parrish Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.