Generating large-scale 3D scenes cannot simply apply existing 3D object
synthesis technique since 3D scenes usually hold complex spatial configurations
and consist of a number of objects at varying scales. We thus propose a
practical and efficient 3D representation that incorporates an equivariant
radiance field with the guidance of a bird's-eye view (BEV) map. Concretely,
objects of synthesized 3D scenes could be easily manipulated through steering
the corresponding BEV maps. Moreover, by adequately incorporating positional
encoding and low-pass filters into the generator, the representation becomes
equivariant to the given BEV map. Such equivariance allows us to produce
large-scale, even infinite-scale, 3D scenes via synthesizing local scenes and
then stitching them with smooth consistency. Extensive experiments on 3D scene
datasets demonstrate the effectiveness of our approach. Our project website is
at this https URL

生成大规模 3D 场景需要应用现有的 3D 对象合成技术，并且场景通常具有复杂的空间配置，并由多个对象组成，不同细度的尺度。因此，我们提出了一种实用且高效的 3D 表示方法，该方法将等变辐射场与鸟瞰图进行了结合。具体来说，通过操纵相应的鸟瞰图，可以轻松操作合成的 3D 场景中的对象。此外，通过充分融合位置编码和低通滤波器到生成器中，该表示对给定的鸟瞰图是等变的。这种等变性使得我们能够通过合成局部场景然后以平滑的一致性连接它们来生成大规模甚至是无限规模的 3D 场景。对 3D 场景数据集的大量实验证明了我们方法的有效性。详见项目网站链接。