基于Metaverse的动态图片多场景虚拟图像智能生成算法

Yu Shengwen, Kan Xi
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引用次数: 1

摘要

从Facebook更名为Meta开始,元宇宙就成为了研究人员关注的焦点。本研究顺应了基于meta - verse的动态图像多场景虚拟图像智能生成算法的发展趋势。条件生成对抗网络在生成器和鉴别器上增加了额外的条件信息,扩展了标准gan的结构。因此,GAN被认为是一种积分算法。通过数字孪生技术和物联网技术,实现生活环境的扩展,将现实世界和虚拟世界融合在一起,构建一个全面的环境。因此,将该模型应用于智能生成算法中。通过仿真验证了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Intelligent Generation Algorithm for Multi-scene Virtual Images of Dynamic Pictures Based on Metaverse
Beginning from the Facebook changed its name to Meta, the metaverse is then focused by the researchers. This research study follows the trend of intelligent generation algorithm for the multi-scene virtual images of dynamic images based on metaverse. Conditional generative adversarial networks add additional conditional information to the generator and discriminator, extending the structure of standard GANs. Hence, the GAN is considered as the integration algorithm. Through digital twin technology and Internet of Things technology, the expansion of the living environment is realized, and the real world and the virtual world are integrated to construct a comprehensive environment. Hence, the model is applied to the intelligent generation algorithm. The effectiveness has been evaluated through simulation.
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