How to improve the quality of GAN-based map generators-Reference-Cited by-同舟云学术

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How to improve the quality of GAN-based map generators

Published:2023-11-06 Issue: Volume:5 Page:106-113
ISSN:
Container-title:Proceedings of the 22nd Brazilian Symposium on Games and Digital Entertainment
language:
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Author:

E Silva Daniele Fernandes¹^ORCID,Torchelsen Rafael Piccin²^ORCID,De Aguiar Marilton Sanchotene²^ORCID

Affiliation:

1. , Instituto Federal de Educação, Ciência e Tecnologia Farroupilha (IFFar), Brazil and Programa de Pós-Graduação em Computação, Universidade Federal de Pelotas (UFPel), Brazil

2. Programa de Pós-Graduação em Computação, Universidade Federal de Pelotas (UFPel), Brazil

Funder

FAPERGS

CAPES

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3631085.3631324

Reference24 articles.

1. A survey on data‐efficient algorithms in big data era

2. Daniele Fernandes e Silva Rafael Torchelsen and Marilton Aguiar. 2023. Dungeon level generation using generative adversarial network: an experimental study for top-down view games. In Anais do L Seminário Integrado de Software e Hardware (João Pessoa/PB). SBC Porto Alegre RS Brasil 95–106. https://doi.org/10.5753/semish.2023.229905

3. DOOM Level Generation Using Generative Adversarial Networks

4. Generative adversarial networks

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