Neural Radiance Fields for the Real World: A Survey
Journal:
arXiv
Published Date:
Jan 22, 2025
Abstract
Neural Radiance Fields (NeRFs) have remodeled 3D scene representation since
release. NeRFs can effectively reconstruct complex 3D scenes from 2D images,
advancing different fields and applications such as scene understanding, 3D
content generation, and robotics. Despite significant research progress, a
thorough review of recent innovations, applications, and challenges is lacking.
This survey compiles key theoretical advancements and alternative
representations and investigates emerging challenges. It further explores
applications on reconstruction, highlights NeRFs' impact on computer vision and
robotics, and reviews essential datasets and toolkits. By identifying gaps in
the literature, this survey discusses open challenges and offers directions for
future research.
