Enhancing interior design with AI-enhanced prompts and stable diffusion

Traditional interior design CAD tools often fall short in terms of user-friendliness and inclusivity, leading to user frustration and dissatisfaction. In response, RoomVision AI leverages advanced Generative AI technology to transform the landscape of interior design. Users can input either a sketch...

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Bibliographic Details
Main Author: Sainani, Evan Sean
Other Authors: Lin Weisi
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2023
Subjects:
Online Access:https://hdl.handle.net/10356/171950
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1719502023-11-17T15:38:01Z Enhancing interior design with AI-enhanced prompts and stable diffusion Sainani, Evan Sean Lin Weisi School of Computer Science and Engineering WSLin@ntu.edu.sg Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence Engineering::Computer science and engineering::Computer applications::Computer-aided engineering Traditional interior design CAD tools often fall short in terms of user-friendliness and inclusivity, leading to user frustration and dissatisfaction. In response, RoomVision AI leverages advanced Generative AI technology to transform the landscape of interior design. Users can input either a sketch or image of an interior alongside a textual description of their aesthetic preferences. This user-centric web application bridges the communication gap between users and CAD tools through natural language refinement using ChatGPT 3.5 Turbo. By integrating these refined prompts into the Stable Diffusion model, users can effortlessly explore interior design concepts. For a personalized experience, ControlNet enhances the Stable Diffusion model, maintaining fidelity to reference images and ensuring generated concepts align with the input structure. RoomVision AI empowers users of all proficiency levels, promising an inclusive and creative future for interior design. The advantages include ease of use, realistic and personalized result generation, and a way to conceptualize a user’s design preferences that can be used for their interior design process. The results of the user feedback survey unequivocally affirm RoomVision AI's advantages, with the average response indicating strong agreement on the web application's user-centric design and satisfaction with the generated concepts. The web application signifies a significant step towards redefining interior design practices for a more inclusive and creative future. Bachelor of Engineering (Computer Science) 2023-11-17T04:27:42Z 2023-11-17T04:27:42Z 2023 Final Year Project (FYP) Sainani, E. S. (2023). Enhancing interior design with AI-enhanced prompts and stable diffusion. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/171950 https://hdl.handle.net/10356/171950 en SCSE22-0805 application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Engineering::Computer science and engineering::Computer applications::Computer-aided engineering
spellingShingle Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Engineering::Computer science and engineering::Computer applications::Computer-aided engineering
Sainani, Evan Sean
Enhancing interior design with AI-enhanced prompts and stable diffusion
description Traditional interior design CAD tools often fall short in terms of user-friendliness and inclusivity, leading to user frustration and dissatisfaction. In response, RoomVision AI leverages advanced Generative AI technology to transform the landscape of interior design. Users can input either a sketch or image of an interior alongside a textual description of their aesthetic preferences. This user-centric web application bridges the communication gap between users and CAD tools through natural language refinement using ChatGPT 3.5 Turbo. By integrating these refined prompts into the Stable Diffusion model, users can effortlessly explore interior design concepts. For a personalized experience, ControlNet enhances the Stable Diffusion model, maintaining fidelity to reference images and ensuring generated concepts align with the input structure. RoomVision AI empowers users of all proficiency levels, promising an inclusive and creative future for interior design. The advantages include ease of use, realistic and personalized result generation, and a way to conceptualize a user’s design preferences that can be used for their interior design process. The results of the user feedback survey unequivocally affirm RoomVision AI's advantages, with the average response indicating strong agreement on the web application's user-centric design and satisfaction with the generated concepts. The web application signifies a significant step towards redefining interior design practices for a more inclusive and creative future.
author2 Lin Weisi
author_facet Lin Weisi
Sainani, Evan Sean
format Final Year Project
author Sainani, Evan Sean
author_sort Sainani, Evan Sean
title Enhancing interior design with AI-enhanced prompts and stable diffusion
title_short Enhancing interior design with AI-enhanced prompts and stable diffusion
title_full Enhancing interior design with AI-enhanced prompts and stable diffusion
title_fullStr Enhancing interior design with AI-enhanced prompts and stable diffusion
title_full_unstemmed Enhancing interior design with AI-enhanced prompts and stable diffusion
title_sort enhancing interior design with ai-enhanced prompts and stable diffusion
publisher Nanyang Technological University
publishDate 2023
url https://hdl.handle.net/10356/171950
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