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 = {}, }