Neural Radiance Fields

Neural Radiance Fields (NeRF) uses neural networks to represent complex 3D scenes. It takes a set of 2D images and their corresponding camera poses as input. The network learns to map 3D coordinates and viewing directions to color and density values. This allows NeRF to render novel views of the scene with high fidelity, effectively creating photorealistic 3D representations from 2D images by optimizing a continuous volumetric scene function.