Title: L3GS: Layered 3D Gaussian Splats for Efficient 3D Scene Delivery Show Chinese title

Title: L3GS：用于高效3D场景传输的分层三维高斯光点

Abstract: Traditional 3D content representations include dense point clouds that consume large amounts of data and hence network bandwidth, while newer representations such as neural radiance fields suffer from poor frame rates due to their non-standard volumetric rendering pipeline. 3D Gaussian splats (3DGS) can be seen as a generalization of point clouds that meet the best of both worlds, with high visual quality and efficient rendering for real-time frame rates. However, delivering 3DGS scenes from a hosting server to client devices is still challenging due to high network data consumption (e.g., 1.5 GB for a single scene). The goal of this work is to create an efficient 3D content delivery framework that allows users to view high quality 3D scenes with 3DGS as the underlying data representation. The main contributions of the paper are: (1) Creating new layered 3DGS scenes for efficient delivery, (2) Scheduling algorithms to choose what splats to download at what time, and (3) Trace-driven experiments from users wearing virtual reality headsets to evaluate the visual quality and latency. Our system for Layered 3D Gaussian Splats delivery L3GS demonstrates high visual quality, achieving 16.9% higher average SSIM compared to baselines, and also works with other compressed 3DGS representations. Show Chinese abstract

Abstract: 传统的3D内容表示方法包括密集点云，这会消耗大量的数据和网络带宽，而较新的表示方法如神经辐射场则由于非标准的体绘制管线而导致帧率较低。 3D高斯光晕（3DGS）可以被视为点云的一种泛化形式，它结合了两者的优点，即具有高质量的视觉效果和高效的实时帧率渲染。 然而，由于网络数据消耗较高（例如，单个场景需要1.5GB），从主机服务器向客户端设备传输3DGS场景仍然具有挑战性。 本工作的目标是创建一个高效的3D内容交付框架，允许用户使用3DGS作为底层数据表示来查看高质量的3D场景。 本文的主要贡献如下： （1）创建新的分层3DGS场景以实现高效传输，（2）调度算法以确定何时下载哪些光晕，以及（3）基于佩戴虚拟现实头显用户的跟踪驱动实验，评估视觉质量和延迟。 我们提出的分层3D高斯光晕传输系统L3GS展示了高质量的视觉效果，在平均SSIM方面比基线高出16.9%，并且还可以与其他压缩的3DGS表示一起工作。