Real-time Animation Generation and Control on Rigged Models via Large Language Models

• URL: http://arxiv.org/abs/2310.17838v2
• Date: Thu, 15 Feb 2024 18:56:41 GMT
• Title: Real-time Animation Generation and Control on Rigged Models via Large Language Models
• Authors: Han Huang, Fernanda De La Torre, Cathy Mengying Fang, Andrzej Banburski-Fahey, Judith Amores, Jaron Lanier
• Abstract summary: We introduce a novel method for real-time animation control and generation on rigged models using natural language input. We embed a large language model (LLM) in Unity to output structured texts that can be parsed into diverse and realistic animations.
• Score: 50.034712575541434
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: We introduce a novel method for real-time animation control and generation on rigged models using natural language input. First, we embed a large language model (LLM) in Unity to output structured texts that can be parsed into diverse and realistic animations. Second, we illustrate LLM's potential to enable flexible state transition between existing animations. We showcase the robustness of our approach through qualitative results on various rigged models and motions.

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