TY - GEN
T1 - Virtual Staging Technologies for the Metaverse
AU - Tukur, Muhammad
AU - Boraey, Yehia
AU - Jashari, Sara
AU - Villanueva, Alberto Jaspe
AU - Shah, Uzair
AU - Al-Zubaidi, Mahmood
AU - Pintore, Giovanni
AU - Gobbetti, Enrico
AU - Schneider, Jens
AU - Agus, Marco
AU - Fetais, Noora
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024/11/29
Y1 - 2024/11/29
N2 - We discuss virtual staging technologies, focusing on two primary pipelines for creating and exploring immersive indoor environments in the metavers: an AI-based image processing pipeline and a LIDAR-based pipeline. The AI-based image processing pipeline leverages advanced AI algorithms for tasks such as clutter removal, semantic style transfer, and super-resolution, enabling rapid generation of high-quality, photorealistic virtual environments from single panoramic images. The LIDAR-based pipeline captures measurable 3D models of indoor spaces, facilitating immersive editing and collaborative design through real-time interaction with high-fidelity virtual environments. A qualitative comparative analysis of these technologies highlights their strengths and limitations in various applications. The practical implications of these pipelines are discussed, particularly their potential to transform industries such as real estate, furniture retail, interior design, construction, remote collaboration, and immersive training. The paper concludes with suggestions for future research, including conducting user studies, integrating the two pipelines, and optimizing technologies for mobile and edge devices to enhance accessibility and usability.
AB - We discuss virtual staging technologies, focusing on two primary pipelines for creating and exploring immersive indoor environments in the metavers: an AI-based image processing pipeline and a LIDAR-based pipeline. The AI-based image processing pipeline leverages advanced AI algorithms for tasks such as clutter removal, semantic style transfer, and super-resolution, enabling rapid generation of high-quality, photorealistic virtual environments from single panoramic images. The LIDAR-based pipeline captures measurable 3D models of indoor spaces, facilitating immersive editing and collaborative design through real-time interaction with high-fidelity virtual environments. A qualitative comparative analysis of these technologies highlights their strengths and limitations in various applications. The practical implications of these pipelines are discussed, particularly their potential to transform industries such as real estate, furniture retail, interior design, construction, remote collaboration, and immersive training. The paper concludes with suggestions for future research, including conducting user studies, integrating the two pipelines, and optimizing technologies for mobile and edge devices to enhance accessibility and usability.
KW - AI
KW - Collaborative Design
KW - Immersive Environments
KW - LIDAR
KW - Metaverse
KW - Virtual Staging
UR - http://www.scopus.com/inward/record.url?scp=85216030836&partnerID=8YFLogxK
U2 - 10.1109/iMETA62882.2024.10807986
DO - 10.1109/iMETA62882.2024.10807986
M3 - Conference contribution
AN - SCOPUS:85216030836
T3 - 2024 2nd International Conference on Intelligent Metaverse Technologies and Applications, iMETA 2024
SP - 206
EP - 213
BT - 2024 2nd International Conference on Intelligent Metaverse Technologies and Applications, iMETA 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd International Conference on Intelligent Metaverse Technologies and Applications, iMETA 2024
Y2 - 26 November 2024 through 29 November 2024
ER -