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TOAD-GAN: Coherent Style Level Generation from a Single Example

TOAD-GAN: Coherent Style Level Generation from a Single Example

4 August 2020
Maren Awiszus
Frederik Schubert
Bodo Rosenhahn
    GAN
ArXivPDFHTML

Papers citing "TOAD-GAN: Coherent Style Level Generation from a Single Example"

5 / 5 papers shown
Title
Simulation-Driven Balancing of Competitive Game Levels with Reinforcement Learning
Simulation-Driven Balancing of Competitive Game Levels with Reinforcement Learning
Florian Rupp
Manuel Eberhardinger
Kai Eckert
58
2
0
24 Mar 2025
RevBiFPN: The Fully Reversible Bidirectional Feature Pyramid Network
RevBiFPN: The Fully Reversible Bidirectional Feature Pyramid Network
Vitaliy Chiley
Vithursan Thangarasa
Abhay Gupta
Anshul Samar
Joel Hestness
D. DeCoste
52
8
0
28 Jun 2022
Fully Convolutional Cross-Scale-Flows for Image-based Defect Detection
Fully Convolutional Cross-Scale-Flows for Image-based Defect Detection
Marco Rudolph
Tom Wehrbein
Bodo Rosenhahn
Bastian Wandt
UQCV
81
208
0
06 Oct 2021
CARL: A Benchmark for Contextual and Adaptive Reinforcement Learning
CARL: A Benchmark for Contextual and Adaptive Reinforcement Learning
C. Benjamins
Theresa Eimer
Frederik Schubert
André Biedenkapp
Bodo Rosenhahn
Frank Hutter
Marius Lindauer
OffRL
41
23
0
05 Oct 2021
Evolving Mario Levels in the Latent Space of a Deep Convolutional
  Generative Adversarial Network
Evolving Mario Levels in the Latent Space of a Deep Convolutional Generative Adversarial Network
Vanessa Volz
Jacob Schrum
Jialin Liu
Simon Lucas
Adam M. Smith
S. Risi
GAN
65
230
0
02 May 2018
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