In computer graphics, many traditional problems are now better handled by deep-learning based data-driven methods. In an increasing variety of problem settings, deep networks are state-of-the-art, beating dedicated hand-crafted methods by significant margins. This tutorial gives an organized overview of core theory, practice, and graphics-related applications of deep learning.
Previous versions of this course have been presented at Eurographics 2018 and Siggraph Asia 2018, websites for these courses are available here:
Eurographics 2018
Siggraph Asia 2018
@inproceedings{Mitra:2019:CDL,
author = {Mitra, Niloy J. and Kokkinos, Iasonas and Guerrero, Paul and Thuerey, Nils and Kim, Vladimir and Guibas, Leonidas},
title = {CreativeAI: Deep Learning for Graphics},
booktitle = {SIGGRAPH 2019 Courses},
series = {Siggraph 2019},
year = {2019},
isbn = {},
location = {Los Angeles},
pages = {},
articleno = {},
numpages = {},
url = {},
doi = {},
acmid = {},
}