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Authors: Gayashan Weerasundara and Nisansa de Silva

Affiliation: Department of Computer Science & Engineering, University of Moratuwa, Sri Lanka

Keyword(s): Machine Learning, Image Generation, Consistency, Dungeons & Dragons.

Abstract: In the evolving landscape of computer graphics, the pursuit of consistency in image generation remains a compelling challenge. This paper delineates a comprehensive methodology that harnesses the capabilities of the Stable Diffusion (SD) model, an adept open-source image generation tool, to generate consistent and high-fidelity imagery. Beginning with the training of a generalized art style for the popular tabletop role-playing game Dungeons and Dragons, our research journeyed through specific character generation and the creation of exhaustive character sheets, culminating in the generation of consistent character images across various poses.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Weerasundara, G. and de Silva, N. (2024). A Multi-Stage Approach to Image Consistency in Zero-Shot Character Art Generation for the D&D Domain. In Proceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART; ISBN 978-989-758-680-4; ISSN 2184-433X, SciTePress, pages 235-242. DOI: 10.5220/0012317600003636

@conference{icaart24,
author={Gayashan Weerasundara. and Nisansa {de Silva}.},
title={A Multi-Stage Approach to Image Consistency in Zero-Shot Character Art Generation for the D&D Domain},
booktitle={Proceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART},
year={2024},
pages={235-242},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012317600003636},
isbn={978-989-758-680-4},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART
TI - A Multi-Stage Approach to Image Consistency in Zero-Shot Character Art Generation for the D&D Domain
SN - 978-989-758-680-4
IS - 2184-433X
AU - Weerasundara, G.
AU - de Silva, N.
PY - 2024
SP - 235
EP - 242
DO - 10.5220/0012317600003636
PB - SciTePress