Proceedings of the 2023 International Conference on Data Science, Advanced Algorithm and Intelligent Computing (DAI 2023)

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Applications and Limitations of Machine Learning in Computer Graphics

Authors
Chengyu Fu1, *
1Department of Computer Science, The University of Sheffield, Sheffield, UK
*Corresponding author.
Corresponding Author
Chengyu Fu
Available Online 14 February 2024.
DOI
10.2991/978-94-6463-370-2_55How to use a DOI?
Keywords
Computer graphics; Machine learning; Rendering; Modelling; Animation
Abstract

Just as in many other fields, the application of machine learning methods has become a prominent topic in the realm of computer graphics. This paper reviews and summarizes some ongoing applications of machine learning in both the academic and industrial aspects of computer graphics, along with certain challenges and limitations being faced. The applications encompass the three primary facets of computer graphics: rendering, modelling, and animation. Machine learning’s roles in areas such as anti-aliasing, ambient occlusion, model generation, and motion capture techniques are discussed and also compared with the traditional methods. On the one hand, the advantages of machine learning are shown by the applications part. On the other hand, limitations are also introduced. The limitations section primarily highlights the need for labelled data and associated cost concerns, as well as the inflexibility and lack of creativity inherent to machine learning. In the end, the article provides a summary of the entire content and offers a glimpse into future trends.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2023 International Conference on Data Science, Advanced Algorithm and Intelligent Computing (DAI 2023)
Series
Advances in Intelligent Systems Research
Publication Date
14 February 2024
ISBN
10.2991/978-94-6463-370-2_55
ISSN
1951-6851
DOI
10.2991/978-94-6463-370-2_55How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Chengyu Fu
PY  - 2024
DA  - 2024/02/14
TI  - Applications and Limitations of Machine Learning in Computer Graphics
BT  - Proceedings of the 2023 International Conference on Data Science, Advanced Algorithm and Intelligent Computing (DAI 2023)
PB  - Atlantis Press
SP  - 552
EP  - 558
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-370-2_55
DO  - 10.2991/978-94-6463-370-2_55
ID  - Fu2024
ER  -