2 citations · 4 across the 6 of their papers we have counts for
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cs.AI2024
Moonshine: Distilling Game Content Generators into Steerable Generative Models
Yuhe Nie, Michael Middleton, Tim Merino +4
Procedural Content Generation via Machine Learning (PCGML) has enhanced game content creation, yet challenges in controllability and limited training data persist. This study addre…
cs.AI2023★ 2 cited
Extend Wave Function Collapse to Large-Scale Content Generation
Yuhe Nie, Shaoming Zheng, Zhan Zhuang +1
Wave Function Collapse (WFC) is a widely used tile-based algorithm in procedural content generation, including textures, objects, and scenes. However, the current WFC algorithm and…