TOAD-GAN
Authors:
- Maren Awiszus
- Frederik Schubert
- Bodo Rosenhahn
Date Archived:
19 October 2020
Accompanying Paper:
TOAD-GAN: Coherent Style Level Generation from a Single Example
Artifact URL:
http://143.244.181.148/artifacts/files/toad_gan.zip
Alternative URL:
https://github.com/Mawiszus/TOAD-GAN
Description:
Official pytorch implementation of TOAD-GAN (Token-based, One-shot, Arbitrary Dimension Generative Adversarial Network), a framework for generating Mario levels from very few examples.
How to Cite This Artifact
The examples below show how to cite this page, but when referring to this work, many authors will prefer that you cite the accompanying paper linked above.
AAAI Style
Awiszus, M.; Schubert, F.; and Rosenhahn, B. 2020. TOAD-GAN. http://143.244.181.148/artifacts/toad_gan. Accessed 23 November 2024.
IEEE Style
M. Awiszus, F. Schubert, and B. Rosenhahn, "TOAD-GAN," 2020. [Online]. Available: http://143.244.181.148/artifacts/toad_gan. [Accessed Nov 23, 2024].
BiBTeX Entry
@misc{toad_gan, author={Awiszus, Maren and Schubert, Frederik and Rosenhahn, Bodo}, title={TOAD-GAN}, howpublished={\url{http://143.244.181.148/artifacts/toad_gan}}, year={2020}, note={Accessed 23 November 2024} }