Research Article
Open access
Published on 7 December 2023
Download pdf
Qiu,S. (2023). Generative AI Processes for 2D Platformer Game Character Design and Animation. Lecture Notes in Education Psychology and Public Media,29,146-160.
Export citation

Generative AI Processes for 2D Platformer Game Character Design and Animation

Shanhui Qiu *,1,
  • 1 Simon Fraser University

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2753-7048/29/20231440

Abstract

AI has the potential to revolutionize the time-consuming and technically complex process of 2D animation production. This paper specifically focuses on creating 2D character animations for platformer games using AI. While AI has made significant contributions to video animations, its application in 2D gaming animation is largely unexplored. Existing AI applications for animation mostly target video animations and lack effective control over randomness. Therefore, this paper explores the role of generative AI in 2D gaming animation, from character design to full animation. Software tools like ChatGPT, Midjourney, Stable Diffusion, and Unity are used to streamline the production process. The research aims to investigate the feasibility and potential of generative AI, with a focus on controlling randomness. By leveraging the unique features of each software, the study aims to enhance the production of 2D game animations. The final output will be an animated character in the “Idle” state, showcasing the potential of generative AI in 2D gaming animation.

Keywords

generative AI, ChatGPT, Midjourney, Stable Diffusion, Unity 2D

[1]. Asraf, & Idrus, S. Z. S. (2020). Hybrid Animation: Implementation of Two-Dimensional (2D) Animation. Journal of Physics. Conference Series, 1529(2), 22093.

[2]. Game, Civitai. https://civitai.com/search/models?sortBy=models_v2&query=game

[3]. Tobias Fischer (2023), Stable Diffusion Sprite Sheets - New Exodia Automation Method. https://www.youtube.com/watch?v=mBA-0mZLeTQ

[4]. Samuelblue, Onodofthenorth-SD_PixelArt_SpriteSheet_Generator. https://huggingface.co/spaces/Samuelblue/ Onodofthenorth-SD_PixelArt_SpriteSheet_Generator Samuelblue, Onodofthenorth-SD_PixelArt_SpriteSheet_Generator. https://huggingface.co/spaces/Samuelblue/ Onodofthenorth-SD_PixelArt_SpriteSheet_Generator

[5]. Vranica. (2023). Advertising (A Special Report) --- AI Has Madison Avenue Excited -- and Worried: Using ChatGPT, Midjourney, DALL-E 2 and other artificial-intelligence tools to create advertising campaigns can save time and money. But it also introduces new risks for agencies and clients. The Wall Street Journal. Eastern Edition.

[6]. Belmonte, Millán, E., Ruiz-Montiel, M., Badillo, R., Boned, J., Mandow, L., & Pérez-de-la-Cruz, J.-L. (2014). Randomness and control in design processes: An empirical study with architecture students. Design Studies, 35(4), 392–411. https://doi.org/10.1016/j.destud.2014.01.002

[7]. Liao. (2023). A.I. May Help Design Your Favorite Video Game Character. New York Times (Online).

[8]. Baker. (2023). ChatGPT ™ / Pam Baker. John Wiley & Sons, Inc.

[9]. Ahn. (2023). On That Toy-Being of Generative Art Toys. M/C Journal, 26(2). https://doi.org/10.5204/mcj.2947

[10]. Shilpa, Kumar, P. R., & Jha, R. K. (2023). LoRa DL: a deep learning model for enhancing the data transmission over LoRa using autoencoder. The Journal of Supercomputing, 79(15), 17079–17097.

[11]. wywywywy (2023.9), sd-webui-depth-lib. https://civitai.com/models/67174/900-hands-library-for-depth-library-or-controlnet, https://github.com/wywywywy/sd-webui-depth-lib

[12]. Bonzon, T. (2023, February 14). Rig a 2D animated character in Unity. GameDev Academy. https://gamedevacademy.org/rig-a-2d-animated-character-in-unity/

Cite this article

Qiu,S. (2023). Generative AI Processes for 2D Platformer Game Character Design and Animation. Lecture Notes in Education Psychology and Public Media,29,146-160.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

Disclaimer/Publisher's Note

The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of EWA Publishing and/or the editor(s). EWA Publishing and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

About volume

Volume title: Proceedings of the 2nd International Conference on Interdisciplinary Humanities and Communication Studies

Conference website: https://www.icihcs.org/
ISBN:978-1-83558-173-5(Print) / 978-1-83558-174-2(Online)
Conference date: 15 November 2023
Editor:Enrique Mallen, Javier Cifuentes-Faura
Series: Lecture Notes in Education Psychology and Public Media
Volume number: Vol.29
ISSN:2753-7048(Print) / 2753-7056(Online)

© 2024 by the author(s). Licensee EWA Publishing, Oxford, UK. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license. Authors who publish this series agree to the following terms:
1. Authors retain copyright and grant the series right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this series.
2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the series's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this series.
3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See Open access policy for details).