通过响应信号的神经细胞自动机合成多种纹理.
Mirela-Magdalena Catrina1, Ioana Cristina Plajer2, Alexandra Băicoianu3
1Faculty of Mathematics and Computer Science, Transilvania University of Braşov, 500036, Braşov, Romania.
Scientific reports
|November 17, 2025
概括
这项研究介绍了一种新的神经细胞自动机,能够从单个模型中生成多个纹理. 这种方法通过在统一的框架内实现纹理插入和编辑来增强纹理合成.
科学领域:
- 人工智能的人工智能
- 计算机科学 计算机科学
- 计算生物学 计算生物学
背景情况:
- 神经细胞自动机 (NCAs) 对于程序性纹理生成是有效的,从局部相互作用中建模全球模式.
- 目前的NCA架构需要为每个纹理提供单独的培训,这限制了纹理合成的可用性.
研究的目的:
- 为了提高神经细胞自动机用于纹理合成的可用性.
- 开发一个单一的NCA模型,能够从单个示例中生成多个纹理.
主要方法:
- 训练一个单一的,紧的NCA,用于多种纹理的演变.
- 在每个细胞的状态中使用基因组信号编码纹理信息.
- 研究基因组信息和成本函数对NCA演变的影响.
主要成果:
- 拟议的NCA成功地使用统一模型生成多个纹理.
- NCA支持学习的纹理之间的插值,使得可以编辑纹理.
- 生成的纹理可以在同一个自动机中合并和共存.
结论:
- 一个单个神经细胞自动机可以被训练来产生和操纵多个纹理.
- 细胞状态内的基因组信号是NCA纹理生成能力的关键.
- 这项工作促进了NCA在程序性内容生成和纹理合成中的应用.
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