Digital Life Project: Autonomous 3D Characters with Social Intelligence
Abstract
In this work, we present Digital Life Project, a framework utilizing language as the universal medium to build autonomous 3D characters, who are capable of engaging in social interactions and expressing with articulated body motions, thereby simulating life in a digital environment. Our framework comprises two primary components: 1) SocioMind: a meticulously crafted digital brain that models personalities with systematic few-shot exemplars, incorporates a reflection process based on psychology principles, and emulates autonomy by initiating dialogue topics; 2) MoMat-MoGen: a text-driven motion synthesis paradigm for controlling the character's digital body. It integrates motion matching, a proven industry technique to ensure motion quality, with cutting-edge advancements in motion generation for diversity. Extensive experiments demonstrate that each module achieves state-of-the-art performance in its respective domain. Collectively, they enable virtual characters to initiate and sustain dialogues autonomously, while evolving their socio-psychological states. Concurrently, these characters can perform contextually relevant bodily movements. Additionally, a motion captioning module further allows the virtual character to recognize and appropriately respond to human players' actions. Homepage: https://digital-life-project.com/
Cite
@article{arxiv.2312.04547,
title = {Digital Life Project: Autonomous 3D Characters with Social Intelligence},
author = {Zhongang Cai and Jianping Jiang and Zhongfei Qing and Xinying Guo and Mingyuan Zhang and Zhengyu Lin and Haiyi Mei and Chen Wei and Ruisi Wang and Wanqi Yin and Xiangyu Fan and Han Du and Liang Pan and Peng Gao and Zhitao Yang and Yang Gao and Jiaqi Li and Tianxiang Ren and Yukun Wei and Xiaogang Wang and Chen Change Loy and Lei Yang and Ziwei Liu},
journal= {arXiv preprint arXiv:2312.04547},
year = {2023}
}
Comments
Homepage: https://digital-life-project.com/