  NeRF's high-quality scene synthesis capability was quickly accepted by
scholars in the years after it was proposed, and significant progress has been
made in 3D scene representation and synthesis. However, the high computational
cost limits intuitive and efficient editing of scenes, making NeRF's
development in the scene editing field facing many challenges. This paper
reviews the preliminary explorations of scholars on NeRF in the scene or object
editing field in recent years, mainly changing the shape and texture of scenes
or objects in new synthesized scenes; through the combination of residual
models such as GaN and Transformer with NeRF, the generalization ability of
NeRF scene editing has been further expanded, including realizing real-time new
perspective editing feedback, multimodal editing of text synthesized 3D scenes,
4D synthesis performance, and in-depth exploration in light and shadow editing,
initially achieving optimization of indirect touch editing and detail
representation in complex scenes. Currently, most NeRF editing methods focus on
the touch points and materials of indirect points, but when dealing with more
complex or larger 3D scenes, it is difficult to balance accuracy, breadth,
efficiency, and quality. Overcoming these challenges may become the direction
of future NeRF 3D scene editing technology.
