MotionGPT: Finetuned LLMs Are General-Purpose Motion Generators

arXiv:2306.10900v2 Announce Type: replace
Abstract: Generating realistic human motion from given action descriptions has experienced significant advancements because of the emerging requirement of digital humans. While recent works have achieved impressive results in generating motion directly from textual action descriptions, they often support only a single modality of the control signal, which limits their application in the real digital human industry. This paper presents a Motion General-Purpose generaTor (MotionGPT) that can use multimodal control signals, e.g., text and single-frame poses, …

arxiv cs.ai cs.cv general generators llms type