“Machine Learning and Rendering” by Keller, Křivánek and Novák
Conference:
Type(s):
Entry Number: 19
Title:
- Machine Learning and Rendering
Course Organizer(s):
Presenter(s)/Author(s):
Abstract:
Prerequisites
The presentations are mostly self contained and will assume only a basic understanding of the principles of image synthesis by rasterization, ray tracing, and light transport simulation.
Level
Advanced
Intended Audience
Although advanced, this course will embrace a wide audience, including technical directors, artists, their producers and managers, as well as researchers.
Description
Machine learning techniques just recently enabled dramatic improvements in both realtime and offline rendering. In this course, we introduce the basic principles of machine learning and review their relations to rendering. Besides fundamental facts like the mathematical identity of reinforcement learning and the rendering equation, we cover efficient and surprisingly elegant solutions to light transport simulation, participating media, noise removal, and anti-aliasing.
