Machine Learning and Rendering
Alexander Keller, Jaroslav Křivánek, Jan Novák, Anton Kaplanyan, Marco Salvi
ACM SIGGRAPH Courses
abstract
abstract
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.
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bibtex
@inproceedings{Keller2018MLR,
author = {Keller, Alexander and K\v{r}iv\'{a}nek, Jaroslav and Nov\'{a}k, Jan and Kaplanyan, Anton and Salvi, Marco},
title = {Machine Learning and Rendering},
booktitle = {ACM SIGGRAPH 2018 Courses},
series = {SIGGRAPH '18},
year = {2018},
isbn = {978-1-4503-5809-5},
location = {Vancouver, British Columbia, Canada},
pages = {19:1--19:1},
articleno = {19},
numpages = {1},
url = {http://doi.acm.org/10.1145/3214834.3214841},
doi = {10.1145/3214834.3214841},
publisher = {ACM},
address = {New York, NY, USA},
}