109 citations · 277 across the 50 of their papers we have counts for
5 papers · 1 filter
Joint Level Generation and Translation Using Gameplay Videos
Negar Mirgati, Matthew Guzdial
Procedural Content Generation via Machine Learning (PCGML) faces a significant hurdle that sets it apart from other fields, such as image or text generation, which is limited annot…
Pixel VQ-VAEs for Improved Pixel Art Representation
Akash Saravanan, Matthew Guzdial
Machine learning has had a great deal of success in image processing. However, the focus of this work has largely been on realistic images, ignoring more niche art styles such as p…
Generating Gameplay-Relevant Art Assets with Transfer Learning
Adrian Gonzalez, Matthew Guzdial, Felix Ramos
In game development, designing compelling visual assets that convey gameplay-relevant features requires time and experience. Recent image generation methods that create high-qualit…
Making CNNs for Video Parsing Accessible
Zijin Luo, Matthew Guzdial, Mark Riedl
The ability to extract sequences of game events for high-resolution e-sport games has traditionally required access to the game's engine. This serves as a barrier to groups who don…
Player Experience Extraction from Gameplay Video
Zijin Luo, Matthew Guzdial, Nicholas Liao +1
The ability to extract the sequence of game events for a given player's play-through has traditionally required access to the game's engine or source code. This serves as a barrier…