VIDES: Virtual Interior Design via Natural Language and Visual Guidance

TL;DR

VIDES is an AI-powered system that enables users to generate and edit indoor interior designs efficiently using natural language and visual guidance, making interior design more accessible and less time-consuming.

Contribution

The paper introduces VIDES, a novel AI system that combines language and visual inputs to generate and modify interior design scenes with high coherence.

Findings

Effective in generating new indoor concepts

Capable of changing indoor styles and objects

Reduces time and skill barriers in interior design

Abstract

Interior design is crucial in creating aesthetically pleasing and functional indoor spaces. However, developing and editing interior design concepts requires significant time and expertise. We propose Virtual Interior DESign (VIDES) system in response to this challenge. Leveraging cutting-edge technology in generative AI, our system can assist users in generating and editing indoor scene concepts quickly, given user text description and visual guidance. Using both visual guidance and language as the conditional inputs significantly enhances the accuracy and coherence of the generated scenes, resulting in visually appealing designs. Through extensive experimentation, we demonstrate the effectiveness of VIDES in developing new indoor concepts, changing indoor styles, and replacing and removing interior objects. The system successfully captures the essence of users' descriptions while providing flexibility for customization. Consequently, this system can potentially reduce the entry barrier for indoor design, making it more accessible to users with limited technical skills and reducing the time required to create high-quality images. Individuals who have a background in design can now easily communicate their ideas visually and effectively present their design concepts. https://sites.google.com/view/ltnghia/research/VIDES