ArtiMo framework uses LLMs and VLMs for text-guided 3D mesh animation

Researchers have introduced ArtiMo, a new framework for animating articulated 3D meshes based on text descriptions. This agent-driven system leverages Large Language and Vision-Language Models to generate motion, integrating kinematic constraints from URDF with the agent's planning abilities. ArtiMo operates in a zero-shot manner, meaning it does not require model fine-tuning, and includes a visual self-improvement mechanism for error correction. The framework also introduces a new benchmark dataset for articulated object animation and demonstrates superior performance over existing methods, especially for complex, causally driven motions. AI

IMPACT This research could advance the creation of dynamic 3D content by enabling more intuitive, text-based animation of complex articulated objects.

RANK_REASON The cluster describes a new research paper introducing a novel framework for 3D mesh animation. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CV →

• ArtiMo
• Large Language and Vision-Language Models
• URDF

• paper
• product

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