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Edge intelligence-assisted animation design with large models: a survey

Journal of cloud computing : advances, systems and applications, 2024-12, Vol.13 (1), p.48-9 [Peer Reviewed Journal]

The Author(s) 2024. corrected publication 2024 ;The Author(s) 2024. corrected publication 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;EISSN: 2192-113X ;DOI: 10.1186/s13677-024-00601-3

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Title:
Edge intelligence-assisted animation design with large models: a survey
Author: Zhu, Jing ; Hu, Chuanjiang ; Khezri, Edris ; Ghazali, Mohd Mustafa Mohd
Subjects: Animation ; Animation design ; Computer Communication Networks ; Computer graphics ; Computer Science ; Computer System Implementation ; Computer Systems Organization and Communication Networks ; Data analysis ; Edge computing ; Information Systems Applications (incl.Internet) ; Intelligence ; Intelligent computing ; Large model ; Mobile Edge Computing Meets AI ; Review ; Software Engineering/Programming and Operating Systems ; Special Purpose and Application-Based Systems ; Survey
Is Part Of: Journal of cloud computing : advances, systems and applications, 2024-12, Vol.13 (1), p.48-9
Description: 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.
Publisher: Berlin/Heidelberg: Springer Berlin Heidelberg
Language: English
Identifier: EISSN: 2192-113X
DOI: 10.1186/s13677-024-00601-3
Source: AUTh Library subscriptions: ProQuest Central
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Edge intelligence-assisted animation design with large models: a survey

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