LGTM: Local-to-Global Text-Driven Human Motion Diffusion Model

arXiv:2405.03485v1 Announce Type: new
Abstract: In this paper, we introduce LGTM, a novel Local-to-Global pipeline for Text-to-Motion generation. LGTM utilizes a diffusion-based architecture and aims to address the challenge of accurately translating textual descriptions into semantically coherent human motion in computer animation. Specifically, traditional methods often struggle with semantic discrepancies, particularly in aligning specific motions to the correct body parts. To address this issue, we propose a two-stage pipeline to overcome this challenge: it first employs large language models (LLMs) …

arxiv cs.cv cs.gr diffusion diffusion model global human text type