What is Neural Radiance Fields (NeRF)?
AI technique that creates 3D scene representations from 2D photographs. Enables novel viewpoint synthesis and 3D-aware video generation.
How it works
NeRF (Neural Radiance Field) is a technique for reconstructing 3D scenes from a collection of 2D photographs. A neural network learns to represent the volumetric appearance of a scene, allowing you to render new views from any angle. While NeRF itself is primarily used for 3D reconstruction and virtual photography, the underlying concepts influence modern AI video generators. Some models use NeRF-inspired representations to maintain 3D consistency during video generation, producing more physically plausible camera movements. Understanding NeRF helps explain why some AI-generated camera movements look natural while others produce impossible geometry.
Tools that use neural radiance fields (nerf)
Related terms
Frequently asked questions
What does neural radiance fields (nerf) mean in AI video?▾
From our blog
Every technical term you will encounter working with AI video tools, explained by practitioners.
Best AI Video Generators in 2026: Tested by a Production StudioHonest reviews of every major AI video generator, rated by a studio that uses them daily.
Runway vs Kling vs Veo: How We Choose for Every ProjectThe decision framework we use to pick between the three tools we reach for most in production.
Need AI video produced by professionals, not generated by yourself?
Apostle is an AI-native video production studio. We use every tool on this page in real client work.
Get in touch