What is neural rendering and how does it unify graphics and deep learning?

Neural rendering uses deep networks to generate images by simulating or learning rendering processes.

Neural rendering replaces traditional graphics pipelines with learned models that map scene representations (geometry, lighting, appearance) to images. It includes techniques like NeRF, GAN-based rendering, and diffusion-based rendering. It bridges computer graphics and deep learning by learning rendering functions directly from data.