jan novák

Machine Learning and Rendering

Alexander Keller, Jaroslav Křivánek, Jan Novák, Anton Kaplanyan, Marco Salvi

ACM SIGGRAPH Courses

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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citation

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},
}