文本驱动的人体运动生成综述

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中图分类号：TP391;TP183 文献标识码：A

Abstract： Human motion generation aims to generate realistic， high-quality human motion. Aiming to summarize the recent advances in text-driven human motion generation technology， through extensively investigating relevant research and literature， this paper systematically reviews the development process and research status of the text-driven human motion generation task.It comprehensively summarizes the model methods related to the task by classifying the generation models and further analyzes the research progress of key technical issues. It summarizes the commonly used datasets and evaluation methods and deeply discusses the unresolved problems and possible future research directions in this field.

Keywords： avatar; motion generation；human motion; text-driven；deep learning

0 引言

近年来，计算机视觉技术迅速发展，特别是在ChatGPT发布后，全球范围内掀起了内容生成大模型的研究热潮，人体动画的AI内容生成受到广泛关注。（剩余21945字）