Neural Radiance Field (NeRF) is a framework that represents a 3D scene in the weights of a fully connected neural network, known as the Multi-Layer Perception(MLP). The method was introduced for the task of novel view synthesis and is able to achieve state-of-the-art photorealistic image renderings from a given continuous viewpoint. NeRFs have become a popular field of research as recent developments have been made that expand the performance and capabilities of the base framework. Recent developments include methods that require less images to train the model for view synthesis as well as methods that are able to generate views from unconstrained and dynamic scene representations.

翻译：神经辐射场（NeRF）是一种将三维场景表示在全连接神经网络（即多层感知机，MLP）权重中的框架。该方法最初为新颖视角合成任务而提出，能够从给定的连续视角实现当前最优的照片级真实感图像渲染。随着近期研究进展不断扩展基础框架的性能与能力，NeRF已成为热门研究领域。最新发展包括：需要较少图像即可完成视角合成模型训练的方法，以及能够从非受限动态场景表示中生成视角的方法。