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Maren Awiszus

Orcid: 0000-0002-0029-2707

Affiliations:
  • Leibniz University, Hanover, Germany


According to our database1, Maren Awiszus authored at least 10 papers between 2018 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
We Call This Controller Skip: AI for Speedrunning.
[BibTeX]
[DOI]
Michael Cook
,
M Charity
,
Maren Awiszus
,
Filippo Carnovalini
,
Alexander Dockhorn
Proceedings of the Joint AIIDE Workshops on Experimental AI in Games and Intelligent Narrative Technologies (EXAG-INT 2025) co-located with the 21st AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE 2025), 2025

2023
Wor(l)d-GAN: Toward Natural-Language-Based PCG in Minecraft.
[BibTeX]
[DOI]
Maren Awiszus
,
Frederik Schubert
,
Bodo Rosenhahn
IEEE Trans. Games, June, 2023

Game content generation from a single example.
[BibTeX]
[DOI]
Maren Awiszus
PhD thesis, 2023

2022
TOAD-GAN: A Flexible Framework for Few-Shot Level Generation in Token-Based Games.
[BibTeX]
[DOI]
Frederik Schubert
,
Maren Awiszus
,
Bodo Rosenhahn
IEEE Trans. Games, 2022

2021
World-GAN: a Generative Model for Minecraft Worlds.
[BibTeX]
[DOI]
Maren Awiszus
,
Frederik Schubert
,
Bodo Rosenhahn
Proceedings of the 2021 IEEE Conference on Games (CoG), 2021

2020
TOAD-GAN: Coherent Style Level Generation from a Single Example.
[BibTeX]
[DOI]
Maren Awiszus
,
Frederik Schubert
,
Bodo Rosenhahn
Proceedings of the Sixteenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2020

2019
Learning Disentangled Representations via Independent Subspaces.
[BibTeX]
[DOI]
Maren Awiszus
,
Hanno Ackermann
,
Bodo Rosenhahn
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018
3D braid guide hair reconstruction using electroluminescent wires.
[BibTeX]
[DOI]
Hendrik Hachmann
,
Maren Awiszus
,
Bodo Rosenhahn
Vis. Comput., 2018

Markov Chain Neural Networks.
[BibTeX]
[DOI]
Maren Awiszus
,
Bodo Rosenhahn
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

Unsupervised Features for Facial Expression Intensity Estimation Over Time.
[BibTeX]
[DOI]
Maren Awiszus
,
Stella Grasshof
,
Felix Kuhnke
,
Jörn Ostermann
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018


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