Work

SGSS: Streaming 6-DoF Navigation of Gaussian Splat Scenes

Year: 2025

Type: conference-paper

Abstract: 3D Gaussian Splatting (3DGS) is an emerging approach for training and representing real-world 3D scenes. Due to its photorealistic novel view synthesis and fast rendering speed (e.g., over 100 FPS), it has the potential to transform how scenes that can be explored in 6 degrees-of-freedom (6-DoF) are represented. However, a limiting factor of 3DGS is its large size, which requires high network bandwidth for streaming reconstructed real-world 3D scenes.

Source: ACM Multimedia Systems Conference (MMSys)

DOI: 10.1145/3712676.3714437

Authors: Mufeng Zhu, Mingju Liu, Cunxi Yu, Cheng-Hsin Hsu, Yao Liu

Institutions: Rutgers, The State University of New Jersey, University of Maryland, College Park, National Tsing Hua University

Language: English

Topic: 3D Shape Modeling and Analysis

Subfield: Computational Mechanics

Field: Engineering

Domain: Physical Sciences

Open Access status: hybrid

Funder: National Science Foundation

Awards: CAREER: System Research to Enable Practical Immersive Streaming: From 360-Degree Towards Volumetric Video Delivery, Collaborative Research: CNS Core: Small: From Capture to Consumption: System Challenges in Pervasive 360-Degree Video Sharing