CoMo: Controllable Motion Generation through Language Guided Pose Code Editing

arXiv:2403.13900v1 Announce Type: new
Abstract: Text-to-motion models excel at efficient human motion generation, but existing approaches lack fine-grained controllability over the generation process. Consequently, modifying subtle postures within a motion or inserting new actions at specific moments remains a challenge, limiting the applicability of these methods in diverse scenarios. In light of these challenges, we introduce CoMo, a Controllable Motion generation model, adept at accurately generating and editing motions by leveraging the knowledge priors of large language models (LLMs). Specifically, …

abstract arxiv challenge code cs.cv diverse editing excel fine-grained human language moments process text through type