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Survey explores generative AI for procedural content creation

By PulseAugur Editorial · [1 sources] ·

This survey paper examines the application of generative artificial intelligence (AI) in procedural content generation (PCG). It reviews how generative AI is used to create various content types, including terrains, items, and storylines. A significant challenge highlighted is the scarcity of domain-specific training data, which is crucial for building high-performance generative AI models for PCG. The paper also focuses on research that addresses these limitations, aiming to advance PCG research. AI

IMPACT Highlights challenges in training data scarcity for generative AI in content creation, potentially guiding future research directions.

RANK_REASON The item is a survey paper on arXiv discussing AI applications. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Survey explores generative AI for procedural content creation

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The item is a survey paper on arXiv discussing AI applications. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 Italiano(IT) · Xinyu Mao, Wanli Yu, Kazunori D Yamada, Michael R. Zielewski ·

    Procedural Content Generation via Generative Artificial Intelligence

    arXiv:2407.09013v2 Announce Type: replace Abstract: The attempt to utilize machine learning in PCG has been made in the past. In this survey paper, we investigate how generative artificial intelligence (AI), which saw a significant increase in interest in the mid-2010s, is being …

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