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Italiano(IT) Procedural Content Generation via Generative Artificial Intelligence

调查探讨生成式人工智能在程序化内容创建中的应用

作者 PulseAugur 编辑部 · [1 个来源] ·

本调查论文研究了生成式人工智能（AI）在程序化内容生成（PCG）中的应用。它回顾了生成式AI如何用于创建各种类型的内容，包括地形、物品和故事情节。一个突出的重大挑战是领域特定训练数据的稀缺性，这对于构建高性能的PCG生成式AI模型至关重要。该论文还侧重于解决这些局限性的研究，旨在推进PCG研究。 AI

影响 强调了内容创建中生成式AI训练数据稀缺的挑战，可能为未来研究方向提供指导。

排序理由 该条目是一篇在arXiv上讨论AI应用的调查论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

调查探讨生成式人工智能在程序化内容创建中的应用

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该条目是一篇在arXiv上讨论AI应用的调查论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

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

    通过生成式人工智能进行程序化内容生成

    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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