Practical Machine Learning for Rendering: From Research to Deployment

Abstract
Applying machine learning to improve graphics rendering or asset pipelines is challenging. Practicalities such as proprietary datasets, network retraining, and deployment issues make it difficult to translate published research into deployed solutions. In this course, industry practitioners at the forefront of this interdisciplinary field discuss and outline potential solutions.
Description

        
@inproceedings{
10.2312:egt.20221059
, booktitle = {
Eurographics 2022 - Tutorials
}, editor = {
Hahmann, Stefanie
and
Patow, Gustavo A.
}, title = {{
Practical Machine Learning for Rendering: From Research to Deployment
}}, author = {
Marshall, Carl S.
and
Vembar, Deepak S.
and
Ganguly, Sujoy
and
Guinier, Florent
}, year = {
2022
}, publisher = {
The Eurographics Association
}, ISSN = {
1017-4656
}, ISBN = {
978-3-03868-172-4
}, DOI = {
10.2312/egt.20221059
} }
Citation