Neural Radiance Field(NeRF) is an novel implicit method to achieve the 3D
reconstruction and representation with a high resolution. After the first
research of NeRF is proposed, NeRF has gained a robust developing power and is
booming in the 3D modeling, representation and reconstruction areas. However
the first and most of the followed research projects based on NeRF is static,
which are weak in the practical applications. Therefore, more researcher are
interested and focused on the study of dynamic NeRF that is more feasible and
useful in practical applications or situations. Compared with the static NeRF,
implementing the Dynamic NeRF is more difficult and complex. But Dynamic is
more potential in the future even is the basic of Editable NeRF. In this
review, we made a detailed and abundant statement for the development and
important implementation principles of Dynamci NeRF. The analysis of main
principle and development of Dynamic NeRF is from 2021 to 2023, including the
most of the Dynamic NeRF projects. What is more, with colorful and novel
special designed figures and table, We also made a detailed comparison and
analysis of different features of various of Dynamic. Besides, we analyzed and
discussed the key methods to implement a Dynamic NeRF. The volume of the
reference papers is large. The statements and comparisons are multidimensional.
With a reading of this review, the whole development history and most of the
main design method or principles of Dynamic NeRF can be easy understood and
gained.

Neural Radiance Field 是一种新颖的隐式方法，用于高分辨率的三维重建和表示；动态 NeRF 是更实际和实用的研究方向，具有更多潜力。