AHCI RESEARCH GROUP

Publications

Papers published in international journals,
proceedings of conferences, workshops and books.

OUR RESEARCH

Scientific Publications

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2023

Le, M. -H.; Chu, C. -B.; Le, K. -D.; Nguyen, T. V.; Tran, M. -T.; Le, T. -N.

VIDES: Virtual Interior Design via Natural Language and Visual Guidance Proceedings Article

In: G., Bruder; A.H., Olivier; A., Cunningham; E.Y., Peng; J., Grubert; I., Williams (Ed.): Proc. - IEEE Int. Symp. Mixed Augment. Real. Adjunct, ISMAR-Adjunct, pp. 689–694, Institute of Electrical and Electronics Engineers Inc., 2023, ISBN: 979-835032891-2 (ISBN).

Abstract | Links | BibTeX | Tags: Architectural design, Customisation, Cutting edge technology, Design concept, Design systems, Image editing, Image generation, Image generations, Indoor space, Interior Design, Interior designs, Interiors (building), Natural languages, Virtual Reality, Visual guidance, Visual languages

@inproceedings{le_vides_2023,

title = {VIDES: Virtual Interior Design via Natural Language and Visual Guidance},

author = {M. -H. Le and C. -B. Chu and K. -D. Le and T. V. Nguyen and M. -T. Tran and T. -N. Le},

editor = {Bruder G. and Olivier A.H. and Cunningham A. and Peng E.Y. and Grubert J. and Williams I.},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85180376943&doi=10.1109%2fISMAR-Adjunct60411.2023.00148&partnerID=40&md5=5ce45d9e97fc5a9fdc31eb7514b3def3},

doi = {10.1109/ISMAR-Adjunct60411.2023.00148},

isbn = {979-835032891-2 (ISBN)},

year  = {2023},

date = {2023-01-01},

booktitle = {Proc. - IEEE Int. Symp. Mixed Augment. Real. Adjunct, ISMAR-Adjunct},

pages = {689–694},

publisher = {Institute of Electrical and Electronics Engineers Inc.},

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. © 2023 IEEE.},

keywords = {Architectural design, Customisation, Cutting edge technology, Design concept, Design systems, Image editing, Image generation, Image generations, Indoor space, Interior Design, Interior designs, Interiors (building), Natural languages, Virtual Reality, Visual guidance, Visual languages},

pubstate = {published},

tppubtype = {inproceedings}

}