1 code implementation • 2 Apr 2024 • Biao Jiang, Xin Chen, Chi Zhang, Fukun Yin, Zhuoyuan Li, Gang Yu, Jiayuan Fan
However, this proficiency remains largely unexplored in other multimodal generative models, particularly in human motion models.
no code implementations • 29 Nov 2023 • Fukun Yin, Xin Chen, Chi Zhang, Biao Jiang, Zibo Zhao, Jiayuan Fan, Gang Yu, Taihao Li, Tao Chen
The advent of large language models, enabling flexibility through instruction-driven approaches, has revolutionized many traditional generative tasks, but large models for 3D data, particularly in comprehensively handling 3D shapes with other modalities, are still under-explored.
2 code implementations • NeurIPS 2023 • Biao Jiang, Xin Chen, Wen Liu, Jingyi Yu, Gang Yu, Tao Chen
Building upon this "motion vocabulary", we perform language modeling on both motion and text in a unified manner, treating human motion as a specific language.
no code implementations • 23 Feb 2023 • Yuan Gao, Biao Jiang, Jietong Zhou
As a result, there is a need to develop a productive prediction model for better order execution and adaptability to different datasets.
1 code implementation • CVPR 2023 • Xin Chen, Biao Jiang, Wen Liu, Zilong Huang, Bin Fu, Tao Chen, Jingyi Yu, Gang Yu
We study a challenging task, conditional human motion generation, which produces plausible human motion sequences according to various conditional inputs, such as action classes or textual descriptors.
Ranked #2 on Motion Synthesis on HumanAct12