Deep Learning for Computer Graphics and Geometry Processing
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Date
2019
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
In computer graphics and geometry processing, many traditional problems are now becoming increasingly handled by 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.
Description
@inproceedings{10.2312:egt.20191036,
booktitle = {Eurographics 2019 - Tutorials},
editor = {Jakob, Wenzel and Puppo, Enrico},
title = {{Deep Learning for Computer Graphics and Geometry Processing}},
author = {Bronstein, Michael and Guibas, Leonidas and Kokkinos, Iasonas and Litany, Or and Mitra, Niloy and Monti, Federico and Rodolà, Emanuele},
year = {2019},
publisher = {The Eurographics Association},
ISSN = {1017-4656},
ISBN = {},
DOI = {10.2312/egt.20191036}
}