OmniMotionGPT: Animal Motion Generation with Limited Data
Mar 1, 2024·,,
,,,,,·
1 min read
Zhen Yang
Meng Zhou
Ming Shan
Bingbing Wen
Ziwei Xuan
Michael Hill
Jing Bai
Guo-Jun Qi
Yu-Wing Tai
Abstract
We propose OmniMotionGPT, a generative framework for animal motion synthesis that operates effectively in limited-data regimes, combining motion priors with powerful sequence modeling.
Type
Publication
CVPR 2024
We introduce OmniMotionGPT, a model for animal motion generation that leverages powerful sequence modeling to perform well even when training data is scarce.
