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Chat2Layout: Interactive 3D Furniture Layout With a Multimodal LLM.

Can Wang, Hongliang Zhong, Menglei Chai

    IEEE Transactions on Visualization and Computer Graphics
    |October 31, 2025
    PubMed
    Summary

    Chat2Layout enables interactive 3D furniture arrangement using multimodal large language models (MLLMs). This system allows users to guide furniture placement through natural language and visual feedback for intuitive interior design.

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    Area of Science:

    • Artificial Intelligence
    • Computer Vision
    • Human-Computer Interaction

    Background:

    • Current automatic furniture layout methods are static and lack interactive refinement.
    • Multimodal large language models (MLLMs) offer advanced visual reasoning but are underutilized for interactive design.
    • Interactive user engagement is crucial for practical interior design applications.

    Purpose of the Study:

    • To introduce Chat2Layout, an interactive system for 3D furniture layout generation.
    • To extend MLLM capabilities for dynamic, feedback-driven interior design.
    • To enable seamless communication and control of MLLMs for layout design without altering model weights.

    Main Methods:

    • Established a unified vision-question paradigm for in-context learning with MLLMs.
    • Developed a training-free visual prompting mechanism using visual-text techniques.
    • Implemented an Offline-to-Online search (O2O-Search) for selecting informative visual references.
    • Utilized an agent system with MLLMs for bidirectional interaction, environmental comprehension, and task planning.
    • Incorporated iterative updates based on visual feedback from execution results.

    Main Results:

    • Demonstrated language-interactive generation and arrangement of furniture in 3D environments.
    • Showcased the system's ability to handle diverse and complex furniture layouts.
    • Validated the effectiveness of the vision-question paradigm and visual prompting for MLLM control.

    Conclusions:

    • Chat2Layout successfully integrates MLLMs into an interactive framework for 3D furniture layout.
    • The proposed methods facilitate intuitive, feedback-driven interior design processes.
    • The system offers a promising direction for advancing intelligent and interactive design tools.