Introduction to Applications of NeRF

Abstract

NeRF (Neural Radiance Fields) has been attracting attention due to recent advancements in 3D scene reconstruction technology. This method uses a fully-connected deep network to generate images from arbitrary viewpoints, using photographs captured from multiple perspectives. Specifically, it learns the position (x, y, z) and viewing direction (θ, φ) of each point in the captured images and estimates the density and color of each point within the 3D space. This enables high-quality reconstruction of complex scenes, a task that traditional techniques struggled with. NeRF shows promise for applications in diverse fields such as surveying, autonomous driving, robotics, medical imaging, entertainment, and more. This article introduces specific applications of NeRF and explains in detail how it is used in various fields.