Edge intelligence-assisted animation design with large models: a survey
Abstract The integration of edge intelligence (EI) in animation design, particularly when dealing with large models, represents a significant advancement in the field of computer graphics and animation. This survey aims to provide a comprehensive overview of the current state and future prospects of...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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SpringerOpen
2024-02-01
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| Series: | Journal of Cloud Computing: Advances, Systems and Applications |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13677-024-00601-3 |
| _version_ | 1797209081141788672 |
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| author | Jing Zhu Chuanjiang Hu Edris Khezri Mohd Mustafa Mohd Ghazali |
| author_facet | Jing Zhu Chuanjiang Hu Edris Khezri Mohd Mustafa Mohd Ghazali |
| author_sort | Jing Zhu |
| collection | DOAJ |
| description | Abstract The integration of edge intelligence (EI) in animation design, particularly when dealing with large models, represents a significant advancement in the field of computer graphics and animation. This survey aims to provide a comprehensive overview of the current state and future prospects of EI-assisted animation design, focusing on the challenges and opportunities presented by large model implementations. Edge intelligence, characterized by its decentralized processing and real-time data analysis capabilities, offers a transformative approach to handling the computational and data-intensive demands of modern animation. This paper explores various aspects of EI in animation and then delves into the specifics of large models in animation, examining their evolution, current trends, and the inherent challenges in their implementation. Finally, the paper addresses the challenges and solutions in integrating EI with large models in animation, proposing future research directions. This survey serves as a valuable resource for researchers, animators, and technologists, offering insights into the potential of EI in revolutionizing animation design and opening new avenues for creative and efficient animation production. |
| first_indexed | 2024-03-07T14:41:00Z |
| format | Article |
| id | doaj.art-a09d8e99190148be82ff18373d6a10c0 |
| institution | Directory Open Access Journal |
| issn | 2192-113X |
| language | English |
| last_indexed | 2024-04-24T09:49:01Z |
| publishDate | 2024-02-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Journal of Cloud Computing: Advances, Systems and Applications |
| spelling | doaj.art-a09d8e99190148be82ff18373d6a10c02024-04-14T11:29:35ZengSpringerOpenJournal of Cloud Computing: Advances, Systems and Applications2192-113X2024-02-011311910.1186/s13677-024-00601-3Edge intelligence-assisted animation design with large models: a surveyJing Zhu0Chuanjiang Hu1Edris Khezri2Mohd Mustafa Mohd Ghazali3Faculty of Creative Industries, City University MalaysiaAnhui Vocational and Technical College of Industry and TradeDepartment of Computer Engineering, Boukan Branch, Islamic Azad UniversityFaculty of Creative Industries, City University MalaysiaAbstract The integration of edge intelligence (EI) in animation design, particularly when dealing with large models, represents a significant advancement in the field of computer graphics and animation. This survey aims to provide a comprehensive overview of the current state and future prospects of EI-assisted animation design, focusing on the challenges and opportunities presented by large model implementations. Edge intelligence, characterized by its decentralized processing and real-time data analysis capabilities, offers a transformative approach to handling the computational and data-intensive demands of modern animation. This paper explores various aspects of EI in animation and then delves into the specifics of large models in animation, examining their evolution, current trends, and the inherent challenges in their implementation. Finally, the paper addresses the challenges and solutions in integrating EI with large models in animation, proposing future research directions. This survey serves as a valuable resource for researchers, animators, and technologists, offering insights into the potential of EI in revolutionizing animation design and opening new avenues for creative and efficient animation production.https://doi.org/10.1186/s13677-024-00601-3Edge computingAnimation designLarge modelIntelligent computingSurvey |
| spellingShingle | Jing Zhu Chuanjiang Hu Edris Khezri Mohd Mustafa Mohd Ghazali Edge intelligence-assisted animation design with large models: a survey Journal of Cloud Computing: Advances, Systems and Applications Edge computing Animation design Large model Intelligent computing Survey |
| title | Edge intelligence-assisted animation design with large models: a survey |
| title_full | Edge intelligence-assisted animation design with large models: a survey |
| title_fullStr | Edge intelligence-assisted animation design with large models: a survey |
| title_full_unstemmed | Edge intelligence-assisted animation design with large models: a survey |
| title_short | Edge intelligence-assisted animation design with large models: a survey |
| title_sort | edge intelligence assisted animation design with large models a survey |
| topic | Edge computing Animation design Large model Intelligent computing Survey |
| url | https://doi.org/10.1186/s13677-024-00601-3 |
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