  Neural Radiation Field (NeRF) technology can learn a 3D implicit model of a
scene from 2D images and synthesize realistic novel view images. This
technology has received widespread attention from the industry and has good
application prospects. In response to the problem that the rendering quality of
NeRF images needs to be improved, many researchers have proposed various
methods to improve the rendering quality in the past three years. The latest
relevant papers are classified and reviewed, the technical principles behind
quality improvement are analyzed, and the future evolution direction of quality
improvement methods is discussed. This study can help researchers quickly
understand the current state and evolutionary context of technology in this
field, which is helpful in inspiring the development of more efficient
algorithms and promoting the application of NeRF technology in related fields.
