VR-GS: A Physical Dynamics-Aware Interactive Gaussian Splatting System in Virtual Reality

Fuente: arXiv
Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Jiang, Ying, Yu, Chang, Xie, Tianyi, Li, Xuan, Feng, Yutao, Wang, Huamin, Li, Minchen, Lau, Henry, Gao, Feng, Yang, Yin, Jiang, Chenfanfu
Format: Preprint
Veröffentlicht: 2024
Schlagworte:
Online-Zugang:
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
_version_ 1866917656887558144
author Jiang, Ying
Yu, Chang
Xie, Tianyi
Li, Xuan
Feng, Yutao
Wang, Huamin
Li, Minchen
Lau, Henry
Gao, Feng
Yang, Yin
Jiang, Chenfanfu
author_facet Jiang, Ying
Yu, Chang
Xie, Tianyi
Li, Xuan
Feng, Yutao
Wang, Huamin
Li, Minchen
Lau, Henry
Gao, Feng
Yang, Yin
Jiang, Chenfanfu
contents As consumer Virtual Reality (VR) and Mixed Reality (MR) technologies gain momentum, there's a growing focus on the development of engagements with 3D virtual content. Unfortunately, traditional techniques for content creation, editing, and interaction within these virtual spaces are fraught with difficulties. They tend to be not only engineering-intensive but also require extensive expertise, which adds to the frustration and inefficiency in virtual object manipulation. Our proposed VR-GS system represents a leap forward in human-centered 3D content interaction, offering a seamless and intuitive user experience. By developing a physical dynamics-aware interactive Gaussian Splatting in a Virtual Reality setting, and constructing a highly efficient two-level embedding strategy alongside deformable body simulations, VR-GS ensures real-time execution with highly realistic dynamic responses. The components of our Virtual Reality system are designed for high efficiency and effectiveness, starting from detailed scene reconstruction and object segmentation, advancing through multi-view image in-painting, and extending to interactive physics-based editing. The system also incorporates real-time deformation embedding and dynamic shadow casting, ensuring a comprehensive and engaging virtual experience.Our project page is available at: https://yingjiang96.github.io/VR-GS/.
format Preprint
id arxiv_https___arxiv_org_abs_2401_16663
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle VR-GS: A Physical Dynamics-Aware Interactive Gaussian Splatting System in Virtual Reality
Jiang, Ying
Yu, Chang
Xie, Tianyi
Li, Xuan
Feng, Yutao
Wang, Huamin
Li, Minchen
Lau, Henry
Gao, Feng
Yang, Yin
Jiang, Chenfanfu
Human-Computer Interaction
Computer Vision and Pattern Recognition
As consumer Virtual Reality (VR) and Mixed Reality (MR) technologies gain momentum, there's a growing focus on the development of engagements with 3D virtual content. Unfortunately, traditional techniques for content creation, editing, and interaction within these virtual spaces are fraught with difficulties. They tend to be not only engineering-intensive but also require extensive expertise, which adds to the frustration and inefficiency in virtual object manipulation. Our proposed VR-GS system represents a leap forward in human-centered 3D content interaction, offering a seamless and intuitive user experience. By developing a physical dynamics-aware interactive Gaussian Splatting in a Virtual Reality setting, and constructing a highly efficient two-level embedding strategy alongside deformable body simulations, VR-GS ensures real-time execution with highly realistic dynamic responses. The components of our Virtual Reality system are designed for high efficiency and effectiveness, starting from detailed scene reconstruction and object segmentation, advancing through multi-view image in-painting, and extending to interactive physics-based editing. The system also incorporates real-time deformation embedding and dynamic shadow casting, ensuring a comprehensive and engaging virtual experience.Our project page is available at: https://yingjiang96.github.io/VR-GS/.
title VR-GS: A Physical Dynamics-Aware Interactive Gaussian Splatting System in Virtual Reality
topic Human-Computer Interaction
Computer Vision and Pattern Recognition
url https://arxiv.org/abs/2401.16663