【摘要】 在角色运动数据集上,运用神经网络技术进行运动合成是当前计算机图形学领域中的一项重要研究。该研究旨在通过神经网络技术生成自然、逼真度较高的角色运动。在对相关研究工作进行分析和总结的基础上,对运动模型的构建、运动交互和运动风格化等领域的研究进展进行了介绍;详细阐述了基于运动捕获数据,利用数据驱动技术、交互式控制方法和ERD,CAE,MAR等网络模型,动态地对角色进行运动建模、运动合成、交互式运动控制,同时为了合成更高质量的角色运动,对运动动画进行风格化等处理;以神经网络技术为着眼点,串联角色运动合成中的各个环节,并结合实际应用,针对当前研究工作面临的难点提出一些可继续深入探索的问题。更多还原

【Abstract】 The application of neural network technology to character motion synthesis on human motion data sets is an important research content in the field of computer graphics.This study aims to generate naturally realistic character motion using neural networks through date-driven technology.Based on the analysis and summary of related research work,this paper introduced the research progress in the fields of motion model construction,motion interaction and motion stylization and so on.Based on the motion capture data,by using data-driven technology,interactive control methods and network models such as ERD,CAE and MAR,the character was dynamically modeled,synthesized and controlled by interactive motion,and in order to generate higher quality character motions,motion animation and other content were stylized.In this paper,taking neural network technology as the focal point,various study works of the character motion synthesis were connected.Combined with the practical applications and difficulties faced in the current research work,this paper suggested some problems that can be further studied.更多还原