GTC 2017: Deep Learning for Ray Tracing
Jensen now shows a slide titled Deep Learning for Ray Tracing. He describes how Deep Learning can be applied to the incredibly computationally demanding task of following photons around a simulated scene. It allows us to use AI to fill in information.
He shows a pair of simulated Mercedes SLK 350s, one being rendered without deep learning take some time to fully resolve in photo -realistic detail. With deep learning it can do this much faster. Deep learning based auto encoders work incredibly fast. In a matter of seconds, the full scene is rendered, including the reflection of trees, clouds and other objects in the larger scene.