Georgia explains how a collection of just 100 to 200 images can be transformed into a photorealistic 3D model of a scene without traditional CAD systems. By utilizing neural rendering techniques, this method captures the intricate details and realism of the environment, allowing for novel viewpoint projections. The process involves extracting camera poses and employing a neural network to map spatial coordinates to color and density, effectively reconstructing scenes from various angles.
