Neural Radiance Fields (NeRFs): A Review and Some Recent Developments.

Arxiv

Abstract — 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.

Index Terms—volume rendering, view synthesis, scene representation, deep learning

Lecture slides:

Paper:

Citation (BibTeX):

@misc{debbagh2023neural,
      title={Neural Radiance Fields (NeRFs): A Review and Some Recent Developments}, 
      author={Mohamed Debbagh},
      year={2023},
      eprint={2305.00375},
      archivePrefix={arXiv},
      primaryClass={cs.CV}
}