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2. A Generative AI Game Jam Case Study from October 2024
 
 # A Generative AI Game Jam Case Study from October 2024

  ![](/sites/default/files/styles/wide/public/publications/concept_captain_finn.jpg?itok=lXn6jJho)

 Generative Artificial Intelligence (GenAI) promises to democratize many creative endeavors, from art, to music, to writing. However, video games are an underexplored field for GenAI given the highly multi-modal and interactive nature. In this work, we present a case study game-jam-style game development process (performed over only a few days!) making heavy use of available GenAI tools (as of October 2024) to create a game called Plunderwater: Sunken Treasure, a title selected from among GenAI suggestions. We share our impressions of what worked well and what could use improvement, and hope that this paper will serve as a guide for GenAI tool developers to focus on the highest impact future improvements and as a starting point for future GenAI for game development benchmarks.



 ## Authors



[Josef Spjut](/person/josef-spjut)

 

 

 ## Publication Date



Wednesday, June 11, 2025

 

 ## Published in



[CVPR 2025 Workshop on Computer Vision For Videogames (CV2)](https://sites.google.com/view/cv2-2025/)

 

 ## Research Area



[Computer Graphics](/research-area/computer-graphics)

[Generative AI](/research-area/generative-ai)

 

 

 ## External Links



[CVPR Page](https://openaccess.thecvf.com/content/CVPR2025W/CV2/html/Spjut_A_Generative_AI_Game_Jam_Case_Study_from_October_2024_CVPRW_2025_paper.html)

[GitHub Repository](https://github.com/jspjut/plunderwater-st)

 

 

 ## Uploaded Files



[Author Version](https://d1qx31qr3h6wln.cloudfront.net/publications/GameJam_F2024__Plunderwater%20%283%29.pdf "Open file in new window")8.79 MB

[Supplement](https://d1qx31qr3h6wln.cloudfront.net/publications/GameJam_F2024__Plunderwater__supplement_.pdf "Open file in new window")5.45 MB

 

 

 ## Copyright



This material is posted here with permission of the IEEE. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to <pubs-permissions@ieee.org>.