Rendering global light transport in real-time using machine learning

摘要

Some implementations disclosed herein provide techniques and arrangements to render global light transport in real-time or near real-time. For example, in a pre-computation stage, a first computing device may render points of surfaces (e.g., using multiple light bounces and the like). Attributes for each of the points may be determined. A plurality of machine learning algorithms may be trained using particular attributes from the attributes. For example, a first machine learning algorithm may be trained using a first portion of the attributes and a second machine learning algorithm may be trained using a second portion of the attributes. The trained machine learning algorithms may be used by a second computing device to render components (e.g., diffuse and specular components) of indirect shading in real-time.

主权项

1. A method under control of one or more processors configured with a computer-readable memory device storing executable instructions, the method comprising:
rendering points on surfaces in a scene that includes global light transport; determining attributes associated with each of the points, the attributes including at least a first portion of the attributes and a second portion of the attributes; training a first point regression function based on the first portion of the attributes to create a first trained model, the first point regression function mapping the first portion of the attributes to at least a first component of indirect light; and training a second point regression function based on the second portion of the attributes to create a second trained model, the second point regression function mapping the second portion of the attributes to at least a second component of indirect light.