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Research questionHow can generative AI create high-quality, diverse procedural content with limited training data?Procedural content generation must produce customized outputs that are both high quality and diverse, yet generative models often require substantial training data. These tensions arise across content such as terrains, items, and storylines, where generation techniques and model architectures may behave differently.
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Machine Learning
Neural and Evolutionary Computing
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Technology
Latest papersRecent research connected to this question, newest first.Procedural Content Generation via Generative Artificial IntelligenceThe source is a survey of generative-AI applications in procedural content generation, covering terrains, items, and storylines. It considers generation techniques, model architectures, and approaches for limited-data scenarios, but does not establish a single best method or a specific deployment setting.research paper · Sep 4, 2026
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