Robotics & Machine Learning Daily News2024,Issue(Jun.18) :99-99.

Research from College of Art and Design Broadens Understanding of Artificial Int elligence (Integration effect of artificial intelligence and traditional animati on creation technology)

艺术设计学院的研究拓宽了对人工智能的理解(人工智能与传统动画对创作技术的整合效应)

Robotics & Machine Learning Daily News2024,Issue(Jun.18) :99-99.

Research from College of Art and Design Broadens Understanding of Artificial Int elligence (Integration effect of artificial intelligence and traditional animati on creation technology)

艺术设计学院的研究拓宽了对人工智能的理解(人工智能与传统动画对创作技术的整合效应)

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摘要

一位新闻记者兼机器人与机器学习的新闻编辑每日新闻-关于人工智能的新研究结果已经发表。根据《来自湛江的新闻》,NewsRx编辑的研究指出,“尽管现代计算机硬件和软件有进步,但数字动画的创作仍然需要大量的人力和时间投入。”本文旨在探讨人工智能(AI)技术如何与传统动画创作技术相结合,达到更好的集成效果,将智能角色动画生成与手绘相结合,利用生成式对抗网络实现高质量的动画生成,生成逼真的动画。通过比较生成动画与真实动画之间的差异来衡量动画的真实性,从而实现角色动画的自动生成,大大降低了数字动画制作的成本和时间,提高了数字动画的质量,为传统动画技术的应用提供了更多的创新。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New study results on artificial intell igence have been published. According to news originating from Zhanjiang, People 's Republic of China, by NewsRx editors, the research stated, "Despite the advan cements in modern computer hardware and software, the creation of digital animat ion still demands a substantial investment of both manpower and time." Our news editors obtained a quote from the research from College of Art and Desi gn: "This article aimed to explore how artificial intelligence (AI) technology c an be combined with traditional animation creation techniques to achieve better integration effects. By combining intelligent character animation generation wit h hand drawing, a generative adversarial network was used to achieve high-qualit y animation generation. The generator generated realistic animations, and the di scriminator measured the authenticity of the animations by comparing the differe nces between the generator-generated animations and the real animations, which w as used for automated character animation generation. This can greatly reduce th e cost and time of digital animation creation, improve the quality of digital an imation, and provide more innovation for the application of traditional animatio n technology."

Key words

College of Art and Design/Zhanjiang/Pe ople's Republic of China/Asia/Artificial Intelligence/Emerging Technologies/Machine Learning/Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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