Was ist NeRF (Neural Radiance Fields)

Definition

NeRF (Neural Radiance Fields) is a deep learning technology that reconstructs high-resolution, continuous 3D scenes and photorealistic views from just a handful of two-dimensional photos.

Explanation

Unlike traditional 3D modeling methods based on mesh models or point clouds, NeRF represents a scene through a neural network that stores the brightness, color, and density of every point in space, along with the behavior of light rays. This enables the physically accurate simulation of complex optical effects like reflections, shadows, transparencies, and intricate structures. This technology is applied in game development, film production, and the creation of Virtual and Augmented Reality (VR/AR) applications. For B2B companies, particularly in sectors like real estate, e-commerce, or manufacturing, NeRF enables the rapid and cost-effective creation of digital twins for spaces or products. Customers can interactively examine physical goods digitally from any angle, which significantly supports purchasing decisions in e-commerce and B2B sales.