Neural Rendering: A Brief Overview - weishaupt.ai

Neural rendering uses deep neural networks to create new images and video from existing scenes. The camera angles, lighting, and other details can be rendered into a realistic model of a 3D scene. In addition, neural rendering of existing images and videos can be used to generate synthetic data. Why it matters: Traditional 3D graphic rendering needs a model with a polygon mesh describing shape, color, and textures, as well as the lighting and camera position. Neural rendering simulates camera physics to separate the 3D scene from the camera capture process, making it easier to create new images from existing images and videos with consistency.