Thing2Reality: Transforming 2D Content into Conditioned Multiviews and 3D Gaussian Objects for XR Communication

Fuente: arXiv
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Main Authors: Hu, Erzhen, Li, Mingyi, Hong, Jungtaek, Qian, Xun, Olwal, Alex, Kim, David, Heo, Seongkook, Du, Ruofei
Format: Preprint
Published: 2024
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author Hu, Erzhen
Li, Mingyi
Hong, Jungtaek
Qian, Xun
Olwal, Alex
Kim, David
Heo, Seongkook
Du, Ruofei
author_facet Hu, Erzhen
Li, Mingyi
Hong, Jungtaek
Qian, Xun
Olwal, Alex
Kim, David
Heo, Seongkook
Du, Ruofei
contents During remote communication, participants often share both digital and physical content, such as product designs, digital assets, and environments, to enhance mutual understanding. Recent advances in augmented communication have facilitated users to swiftly create and share digital 2D copies of physical objects from video feeds into a shared space. However, conventional 2D representations of digital objects restricts users' ability to spatially reference items in a shared immersive environment. To address this, we propose Thing2Reality, an Extended Reality (XR) communication platform that enhances spontaneous discussions of both digital and physical items during remote sessions. With Thing2Reality, users can quickly materialize ideas or physical objects in immersive environments and share them as conditioned multiview renderings or 3D Gaussians. Thing2Reality enables users to interact with remote objects or discuss concepts in a collaborative manner. Our user study revealed that the ability to interact with and manipulate 3D representations of objects significantly enhances the efficiency of discussions, with the potential to augment discussion of 2D artifacts.
format Preprint
id arxiv_https___arxiv_org_abs_2410_07119
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Thing2Reality: Transforming 2D Content into Conditioned Multiviews and 3D Gaussian Objects for XR Communication
Hu, Erzhen
Li, Mingyi
Hong, Jungtaek
Qian, Xun
Olwal, Alex
Kim, David
Heo, Seongkook
Du, Ruofei
Human-Computer Interaction
Artificial Intelligence
Computer Vision and Pattern Recognition
During remote communication, participants often share both digital and physical content, such as product designs, digital assets, and environments, to enhance mutual understanding. Recent advances in augmented communication have facilitated users to swiftly create and share digital 2D copies of physical objects from video feeds into a shared space. However, conventional 2D representations of digital objects restricts users' ability to spatially reference items in a shared immersive environment. To address this, we propose Thing2Reality, an Extended Reality (XR) communication platform that enhances spontaneous discussions of both digital and physical items during remote sessions. With Thing2Reality, users can quickly materialize ideas or physical objects in immersive environments and share them as conditioned multiview renderings or 3D Gaussians. Thing2Reality enables users to interact with remote objects or discuss concepts in a collaborative manner. Our user study revealed that the ability to interact with and manipulate 3D representations of objects significantly enhances the efficiency of discussions, with the potential to augment discussion of 2D artifacts.
title Thing2Reality: Transforming 2D Content into Conditioned Multiviews and 3D Gaussian Objects for XR Communication
topic Human-Computer Interaction
Artificial Intelligence
Computer Vision and Pattern Recognition
url https://arxiv.org/abs/2410.07119