无边界4D城市的组合生成模型
IEEE transactions on pattern analysis and machine intelligence
|August 26, 2025
概括
通过将动态流量与静态场景分开,并使用专门的神经场所构建对象, CityDreamer4D可以生成无限的4D城市. 这种组合方法可以实现现实的4D城市生成,并支持城市模拟等应用.
科学领域:
- 计算机视觉
- 人工智能
- 3D场景生成
背景情况:
- 三维场景的生成正在迅速发展.
- 由于复杂的物体和人类对城市扭曲的敏感性,产生动态的4D城市带来了独特的挑战.
研究的目的:
- 提出城市梦想者4D,一个无限制的4D城市生成的构成模型.
- 通过分离动态和静态元素并利用多样化的神经场所来解决4D城市的复杂性.
主要方法:
- 城市梦想者4D将动态物体 (车辆) 与静态场景 (建筑物,道路) 分开.
- 它使用组合神经场 (面向物体和面向实例) 与定制的生成哈希网和周期性的位置嵌入.
- 使用交通场景生成器和无限布局生成器,具有紧的鸟视图 (BEV) 表示.
主要成果:
- 在创建现实的4D城市方面展示了最先进的性能.
- 成功生成动态交通场景和静态城市布局.
- 提供全面的数据集 (OSM,谷歌地球,CityTopia) 用于4D城市生成研究.
结论:
- 城市梦想家4D的构造设计有效地应对了4D城市的挑战.
- 该模型支持多种下游应用,包括实例编辑,城市风格化和城市模拟.
- 推进复杂,动态城市环境的生成模型领域.
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