Proceedings of the 2022 3rd International Conference on Artificial Intelligence and Education (IC-ICAIE 2022)

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The Application of Artificial Intelligence-based Style Transfer Algorithm to the Design of Animation Special Effects

Authors
Xuebiao Niu1, 2, *
1School of Design Arts, Xiamen University of Technology, Xiamen, 361024, Fujian, China
2Theory and history of art, Moscow State Stroganov Academy of Design and Applied Arts, Moscow, 125080, Russia
*Corresponding author. Email: 18250750817@163.com
Corresponding Author
Xuebiao Niu
Available Online 27 December 2022.
DOI
10.2991/978-94-6463-040-4_210How to use a DOI?
Keywords
Artificial intelligence; style transfer algorithm; animation special effects; animation design
Abstract

Style transfer belongs to a new type of research on image tasks in the field of deep learning, which enriches and explores people's imagination of real life. In-depth research on style transfer can deepen the computer's understanding of images, which is conducive to accelerating the development of computers in the field of artificial intelligence. The purpose of this paper is to study the style transfer algorithm applied to the design of animation special effects based on artificial intelligence. First, the application status of animation special effects technology at home and abroad is systematically analyzed, and the importance of studying special effects technology is expounded. Secondly, the types and concepts of special effects technology, as well as the practicability and feasibility of special effects technology in animation production are revealed through objective analysis. The evaluation index of image style transfer results is given, and an experiment of special effects separation effect based on depth-aware special effects migration network is proposed and carried out. Finally, the indicators of each module are compared and analyzed. The experimental results show that the method in this paper can accurately find all the special effects in the scene.

Copyright
© 2023 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 2022 3rd International Conference on Artificial Intelligence and Education (IC-ICAIE 2022)
Series
Atlantis Highlights in Computer Sciences
Publication Date
27 December 2022
ISBN
10.2991/978-94-6463-040-4_210
ISSN
2589-4900
DOI
10.2991/978-94-6463-040-4_210How to use a DOI?
Copyright
© 2023 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  - Xuebiao Niu
PY  - 2022
DA  - 2022/12/27
TI  - The Application of Artificial Intelligence-based Style Transfer Algorithm to the Design of Animation Special Effects
BT  - Proceedings of the 2022 3rd International Conference on Artificial Intelligence and Education (IC-ICAIE 2022)
PB  - Atlantis Press
SP  - 1410
EP  - 1415
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-040-4_210
DO  - 10.2991/978-94-6463-040-4_210
ID  - Niu2022
ER  -