|
|
|
| A Survey of Text-driven Human Motion Generation |
| ZHAO Guangzhe, JIN Ming, QIU Shuang, WANG Xueping, YAN Feihu
|
1. School of Intelligence Science and Technology, Beijing University of Civil Engineering and Architecture, Beijing 102616, China;
2. Beijing Key Laboratory of Super Intelligent Technology for Urban Architecture, Beijing University of Civil Engineering and Architecture, Beijing 102616, China |
|
|
|
|
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.
|
|
Received: 14 April 2025
Published: 03 June 2025
|
|
|
|
|
|
|
|
|
