CreativeAI:
Deep Learning for Graphics
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.
@inproceedings{Mitra:2018:CDL:3277644.3277775,
author = {Mitra, Niloy J. and Kokkinos, Iasonas and Guerrero, Paul and Thuerey, Nils and Ritschel, Tobias},
title = {CreativeAI: Deep Learning for Graphics},
booktitle = {SIGGRAPH Asia 2018 Courses},
series = {SA ’18},
year = {2018},
isbn = {978-1-4503-6026-5},
location = {Tokyo, Japan},
pages = {4:1--4:249},
articleno = {4},
numpages = {249},
url = {http://doi.acm.org/10.1145/3277644.3277775},
doi = {10.1145/3277644.3277775},
acmid = {3277775},
}