Neural Radiance Field (NeRF)

Neural Radiance Fields (NeRFs), introduced by researchers at UC Berkeley in 2020, represent a 3D scene as a neural function that maps any 3D position plus a viewing direction to a color and density value. Trained on a collection of photographs of a real scene taken from different viewpoints (typically 20-100 images with known camera positions), the NeRF learns to encode the complete 3D visual information of the scene in its weights. At render time, for any desired viewpoint, rays are cast through the scene, the neural function is evaluated at many points along each ray, and the colors are integrated to produce a final pixel color — enabling photorealistic rendering from any novel viewpoint, even angles never captured in the training photographs. The result is a continuous 3D representation that can be explored interactively or rendered as video.

NeRF has evolved rapidly from the original slow-training, slow-rendering research implementation into practical real-time applications. Gaussian Splatting (2023) introduced a related but faster technique that represents scenes as collections of 3D Gaussian ellipsoids rather than an implicit neural function, achieving real-time rendering rates and much faster training. Services like Luma AI, Polycam, and ARKit's RoomPlan allow capturing NeRF-quality 3D reconstructions with consumer devices — walk around an object with your phone and receive an interactive 3D model minutes later. This democratization of 3D reconstruction is creating new workflows in product visualization, real estate, architecture, and experiential marketing.

For B2B teams in product marketing, e-commerce, and experiential marketing, NeRF-based 3D reconstruction represents a significant capability: the ability to capture photorealistic 3D models of real physical objects and environments from consumer smartphone footage. A product that would previously require expensive 3D modeling work can be captured in a fifteen-minute photographic session and automatically processed into an interactive 3D model usable for web-based product viewers, AR previews, virtual showrooms, and 360-degree video content. The 3D model also enables generating video footage of the product from any camera angle or with any lighting setup — eliminating the need for additional photography sessions when new angles or looks are needed. For industries where physical product experience is key to the purchase decision (retail, manufacturing, real estate), NeRF-based 3D content provides an accessible pathway to immersive digital experiences from real-world capture.