A Multimodal Diffusion-based Interior Design AI with ControlNet

Ziyi Qin

doi:10.23977/jaip.2024.070124

A Multimodal Diffusion-based Interior Design AI with ControlNet

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DOI: 10.23977/jaip.2024.070124 | Downloads: 13 | Views: 86

Author(s)

Ziyi Qin ¹

Affiliation(s)

¹ Wuxi Jiangsu Tianyi High School, Wuxi, China

Corresponding Author

Ziyi Qin

ABSTRACT

This study introduces an AI-driven method for generating interior design visualizations using ControlNet, which effectively interprets blueprints and sketches to produce high-quality visualizations. By focusing on improving PSNR and SSIM metrics, the approach ensures structural accuracy and aesthetic appeal, demonstrating ControlNet's capability to capture detailed design information. The results showcase the model's potential to assist designers in creating refined and visually coherent interior design concepts, highlighting the benefits of AI integration in the design process.

KEYWORDS

ControlNet, Diffusion Model, Interior Design

CITE THIS PAPER

Ziyi Qin, A Multimodal Diffusion-based Interior Design AI with ControlNet. Journal of Artificial Intelligence Practice (2024) Vol. 7: 162-165. DOI: http://dx.doi.org/10.23977/jaip.2024.070124.

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A Multimodal Diffusion-based Interior Design AI with ControlNet

Author(s)

Affiliation(s)

Corresponding Author

ABSTRACT

KEYWORDS

CITE THIS PAPER

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