文本驅(qū)動(dòng)的人體運(yùn)動(dòng)生成綜述

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中圖分類號(hào)：TP391;TP183 文獻(xiàn)標(biāo)識(shí)碼：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

近年來(lái)，計(jì)算機(jī)視覺(jué)技術(shù)迅速發(fā)展，特別是在ChatGPT發(fā)布后，全球范圍內(nèi)掀起了內(nèi)容生成大模型的研究熱潮，人體動(dòng)畫(huà)的AI內(nèi)容生成受到廣泛關(guān)注。（剩余21945字）