“Machine Learning and Rendering” by Keller, Křivánek and Novák

  • ©Alexander Keller, Jaroslav Křivánek, and Jan Novák

Conference:


Entry Number: 19

Title:

    Machine Learning and Rendering

Course Organizer(s):



Presenter(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.


ACM Digital Library Publication:



Type: