FurniMAS: Language-Guided Furniture Decoration using Multi-Agent System

TL;DR

FurniMAS is an innovative multi-agent system that automates furniture decoration by integrating language-guided asset selection and arrangement, improving efficiency and quality in industrial applications.

Contribution

This paper introduces FurniMAS, a novel multi-agent framework combining LLM and non-LLM agents for automated, high-quality furniture decoration based on human prompts.

Findings

Outperforms baseline methods in decor quality

Effectively integrates language prompts with asset arrangement

Demonstrates scalability in 3D furniture decoration

Abstract

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.