Encoder-Free Human Motion Understanding via Structured Motion Descriptions 事件

Encoder-Free Human Motion Understanding via Structured Motion Descriptions arXiv:2604.21668v2 Announce Type: replace Abstract: The world knowledge and reasoning capabilities of text-based large language models (LLMs) are advancing rapidly, yet current approaches to human motion understanding, including motion question answering and captioning, have not fully exploited these capabilities. Existing LLM-based methods typically learn motion-language alignment through dedicated encoders that project