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Interior design is crucial in creating aesthetically pleasing and functionalindoor spaces. However, developing and editing interior design conceptsrequires significant time and expertise. We propose Virtual Interior DESign(VIDES) system in response to this challenge. Leveraging cutting-edgetechnology in generative AI, our system can assist users in generating andediting indoor scene concepts quickly, given user text description and visualguidance. Using both visual guidance and language as the conditional inputssignificantly enhances the accuracy and coherence of the generated scenes,resulting in visually appealing designs. Through extensive experimentation, wedemonstrate the effectiveness of VIDES in developing new indoor concepts,changing indoor styles, and replacing and removing interior objects. The systemsuccessfully captures the essence of users' descriptions while providingflexibility for customization. Consequently, this system can potentially reducethe entry barrier for indoor design, making it more accessible to users withlimited technical skills and reducing the time required to create high-qualityimages. Individuals who have a background in design can now easily communicatetheir ideas visually and effectively present their design concepts.https://sites.google.com/view/ltnghia/research/VIDES

VIDES: Virtual Interior Design via Natural Language and Visual Guidance