用多智能体系统自动完成家具装饰，让设计更智能高效。
FurniMAS: Language-Guided Furniture Decoration using Multi-Agent System
- 构建语言引导的多智能体系统，分工协作完成装饰任务。
- 在3D装饰生成上显著优于现有基线模型，效果更高质量更高。
- 适合家居设计、AI辅助创作等需要快速出图的场景。
家具装饰是工业应用中的重要任务，但高质量成果通常耗时且需专业艺术知识。为解决这一问题，我们探索多智能体系统在自动化装饰中的应用，提出FurniMAS——一种用于自动家具装饰的多智能体系统。给定用户提示和家具对象（如工作台或电视柜），系统能推荐符合风格与材质的装饰资产，并合理布局，确保结果兼顾功能、美学与氛围偏好。FurniMAS由基于LLM与非LLM的混合智能体组成，各司其职，通过沟通、逻辑推理与验证协作，将需求转化为最终成果。大量实验表明，FurniMAS在生成高质量3D装饰方面显著优于其他基线方法。
原文摘要 · Abstract (English)
Furniture decoration is an important task in various industrial applications. However, achieving a high-quality decorative result is often time-consuming and requires specialized artistic expertise. To tackle these challenges, we explore how multi-agent systems can assist in automating the decoration process. We propose FurniMAS, a multi-agent system for automatic furniture decoration. Specifically, given a human prompt and a household furniture item such as a working desk or a TV stand, our system suggests relevant assets with appropriate styles and materials, and arranges them on the item, ensuring the decorative result meets functionality, aesthetic, and ambiance preferences. FurniMAS assembles a hybrid team of LLM-based and non-LLM agents, each fulfilling distinct roles in a typical decoration project. These agents collaborate through communication, logical reasoning, and validation to transform the requirements into the final outcome. Extensive experiments demonstrate that our FurniMAS significantly outperforms other baselines in generating high-quality 3D decor.
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