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    <title>Zhenhua Wu | Andrea De Lorenzo</title>
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    <description>Zhenhua Wu</description>
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      <title>A Systematic Review of Generative AI on Game Character Creation: Applications, Challenges, and Future Trends</title>
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      <pubDate>Thu, 01 May 2025 00:00:00 +0000</pubDate>
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      <description>&lt;p&gt;In this paper, we review the impact of generative artificial intelligence (AI) on game character creation. We critically examine the application of AI-driven computer graphics (AICG) technology across the character creation workflow, including concept generation, clothing design, modeling, props, cultural embedding, personality traits, and behaviors. Our research identifies potential applications, challenges, and future trends of these technologies in game development. Furthermore, it explores how AI and large language models (LLMs) can streamline workflows, automate asset generation, and reduce technical barriers in character creation. In this systematic review, we provide valuable insights for AI developers, game designers, and researchers.&lt;/p&gt;
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