Interactive evolution and exploration within latent level-design space of generative adversarial networks-Reference-Cited by-同舟云学术

Interactive evolution and exploration within latent level-design space of generative adversarial networks

Published:2020-06-25 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2020 Genetic and Evolutionary Computation Conference
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Author:

Schrum Jacob¹,Gutierrez Jake¹,Volz Vanessa²,Liu Jialin³,Lucas Simon⁴,Risi Sebastian⁵

Affiliation:

1. Southwestern University

2. modl.ai, Copenhagen, Denmark

3. Southern University of Science and Technology, Shenzhen, China

4. Queen Mary University of London, London, UK

5. IT University of Copenhagen, Copenhagen, Denmark

Funder

Science and Technology Innovation Committee Foundation of Shenzhen

National Natural Science Foundation of China

Program for University Key Laboratory of Guangdong Province

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3377930.3389821

Reference48 articles.

1. Philip Bontrager Julian Togelius and Nasir Memon. 2017. DeepMasterPrint: Generating Fingerprints for Presentation Attacks. (2017). arXiv:cs.CV/1705.07386 Philip Bontrager Julian Togelius and Nasir Memon. 2017. DeepMasterPrint: Generating Fingerprints for Presentation Attacks. (2017). arXiv:cs.CV/1705.07386

2. Computerized Dungeons and Randomly Generated Worlds: From Rogue to Minecraft [Scanning Our Past]

3. General Analytical Techniques For Parameter-Based Procedural Content Generators

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