The emerging Neural Radiance Field (NeRF) shows great potential in
representing 3D scenes, which can render photo-realistic images from novel view
with only sparse views given. However, utilizing NeRF to reconstruct real-world
scenes requires images from different viewpoints, which limits its practical
application. This problem can be even more pronounced for large scenes. In this
paper, we introduce a new task called NeRF synthesis that utilizes the
structural content of a NeRF patch exemplar to construct a new radiance field
of large size. We propose a two-phase method for synthesizing new scenes that
are continuous in geometry and appearance. We also propose a boundary
constraint method to synthesize scenes of arbitrary size without artifacts.
Specifically, we control the lighting effects of synthesized scenes using
shading guidance instead of decoupling the scene. We have demonstrated that our
method can generate high-quality results with consistent geometry and
appearance, even for scenes with complex lighting. We can also synthesize new
scenes on curved surface with arbitrary lighting effects, which enhances the
practicality of our proposed NeRF synthesis approach.

本文提出了一种叫做 NeRF 综合的新任务，利用 NeRF 补丁范例的结构内容构建大尺寸的新辐射场，我们提出了一种两阶段的方法来综合新场景，控制场景的照明效果采用阴影指导而不是分离场景，我们表明了我们的方法可以生成高质量的结果，对曲面上的新场景进行综合，增强了我们所提出的 NeRF 综合方法的实用性。