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    This summary is machine-generated.

    This study introduces C3 Assignment, a novel system for 3D interior color design. It offers creative and practical color suggestions by optimizing for compatibility, mood, contrast, and user preferences in virtual spaces.

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    Area of Science:

    • Computer Graphics
    • Computational Design
    • Human-Computer Interaction

    Background:

    • 3D interior color design is complex, requiring balance of multiple factors.
    • Image-based learning is less effective for man-made interior objects with variable colors.
    • Creative and reasonable color assignments are crucial for interior design.

    Purpose of the Study:

    • To develop a system, C3 Assignment, for diverse and rule-compliant 3D interior color design.
    • To extend 2D color constraints to 3D and formulate design as an optimization problem.
    • To ensure omnidirectional design for comfortable user experience in virtual interiors.

    Main Methods:

    • Formulating 3D interior color design as an optimization problem with extended 2D constraints.
    • Developing a surrogate-assisted evolutionary algorithm for efficient, interactive problem-solving.
    • Designing for omnidirectional viewing to accommodate user perspective in 3D spaces.

    Main Results:

    • The C3 Assignment system provides diverse color suggestions satisfying global and local design rules.
    • The surrogate-assisted evolutionary algorithm efficiently solves the complex optimization problem.
    • System performance was investigated regarding complexity, convergence, and suggestion diversity.

    Conclusions:

    • The proposed method effectively addresses the challenges of 3D interior color design.
    • Rule extension from 2D to 3D is validated, enhancing system usability.
    • The system offers a practical approach for generating creative and personalized interior color schemes.