What is NeRF (Neural Radiance Fields)?
TL;DR
AI technology that reconstructs 3D scenes from multiple 2D photos. Generates realistic 3D representations from photographs.
NeRF (Neural Radiance Fields): Definition & Explanation
NeRF (Neural Radiance Fields) is a technology that uses neural networks to model 3D space from multiple 2D images captured from different viewpoints. Published by UC Berkeley researchers in 2020, it enables reconstruction of photo-realistic 3D scenes. It represents the color and density of each point in space through a neural network, enabling rendering from arbitrary viewpoints. Applications include real estate virtual tours, digital archiving of cultural heritage, autonomous driving simulation, and VR/AR content creation. Since 2023, Gaussian Splatting has gained attention as a faster alternative technique.