摘要
阐述基于深度学习的数字媒体内容生成技术,包括图像、音频、视频生成技术。探讨提高生成结果的质量和多样性、提高模型的稳定性和训练效率以及实现可解释性和可控性的生成过程。
This paper expounds digital media content generation techniques based on deep learning,including image,audio,and video generation techniques.It explores improving the quality and diversity of generated results,enhancing model stability and training efficiency,and achieving interpretability and controllability in the generation process.
作者
梁言
LIANG Yan(Henan Industry and Trade Vocational College,Henan 451100,China)
出处
《集成电路应用》
2024年第5期294-295,共2页
Application of IC
关键词
深度学习
数字媒体
内容生成
图像生成
deep learning
digital media
content generation
image generation
