New method converts human motion to text for LLM analysis

Researchers have developed a new method called Structured Motion Description (SMD) that converts human motion data into natural language text. This approach bypasses the need for specialized encoders by representing joint angles and body kinematics as descriptive text, allowing large language models (LLMs) to directly process and reason about human movement. SMD has demonstrated state-of-the-art performance on motion question answering and captioning tasks, outperforming previous methods and offering benefits such as interpretability and compatibility across various LLMs with minimal adaptation. AI

RANK_REASON The cluster describes a new research paper introducing a novel method for human motion understanding. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CV →

• BABEL-QA
• HumanML3D
• HuMMan-QA
• large language models (LLMs)
• LoRA
• Structured Motion Description (SMD)
• Yao Zhang

• paper
• model release

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