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cs.CV2024
Towards Open Domain Text-Driven Synthesis of Multi-Person Motions
Mengyi Shan, Lu Dong, Yutao Han +5
This work aims to generate natural and diverse group motions of multiple humans from textual descriptions. While single-person text-to-motion generation is extensively studied, it…
cs.CV2023
OmniMotionGPT: Animal Motion Generation with Limited Data
Zhangsihao Yang, Mingyuan Zhou, Mengyi Shan +6
Our paper aims to generate diverse and realistic animal motion sequences from textual descriptions, without a large-scale animal text-motion dataset. While the task of text-driven…