Neural radiance field

A neural radiance field (NeRF) is a method based on deep learning for reconstructing a three-dimensional representation of a scene from sparse two-dimensional images. The NeRF model enables learning of novel view synthesis, scene geometry, and the reflectance properties of the scene. Additional scene properties such as camera poses may also be jointly learned. NeRF enables rendering of photorealistic views from novel viewpoints. First introduced in 2020, it has since gained significant attention for its potential applications in computer graphics and content creation.