Despite the impressive progress of telepresence systems for room-scale scenes with static and dynamic scene entities, expanding their capabilities to scenarios with larger dynamic environments beyond a fixed size of a few square-meters remains challenging. In this paper, we aim at sharing 3D live-telepresence experiences in large-scale environments beyond room scale with both static and dynamic scene entities at practical bandwidth requirements only based on light-weight scene capture with a single moving consumer-grade RGB-D camera. To this end, we present a system which is built upon a novel hybrid volumetric scene representation in terms of the combination of a voxel-based scene representation for the static contents, that not only stores the reconstructed surface geometry but also contains information about the object semantics as well as their accumulated dynamic movement over time, and a point-cloud-based representation for dynamic scene parts, where the respective separation from static parts is achieved based on semantic and instance information extracted for the input frames. With an independent yet simultaneous streaming of both static and dynamic content, where we seamlessly integrate potentially moving but currently static scene entities in the static model until they are becoming dynamic again, as well as the fusion of static and dynamic data at the remote client, our system is able to achieve VR-based live-telepresence at close to real-time rates. Our evaluation demonstrates the potential of our novel approach in terms of visual quality, performance, and ablation studies regarding involved design choices.

翻译：尽管以静态和动态场景实体为室规模的室内场景远程现场系统取得了令人印象深刻的进展,但其能力仍具有挑战性。在本文中,我们的目标是,仅以一个一次性移动的消费者级 RGB-D 相机以轻量量级场景拍摄为基础,以实际带宽要求为基础,与在超出室规模的大规模环境中的静态和动态场景实体分享3D现场现场系统的经验。为此,我们提出了一个基于新型混合体积场景选择的系统,即固定内容以基于毒气的场景代表形式组合,不仅储存重建后的地表几米大小,而且包含关于天体构造及其长期累积动态变化的信息,而且以点-波形-基-显示动态场景部分,在这些位置上,根据为输入框架提取的语义和实例信息,分别与静态部分进行分离。一个既独立又同时流动的动态和动态的场景场景展示,在静态模型中将潜在但目前静止的场景实体混为一体的组合,在动态设计上,我们静态客户的动态设计能够实现动态的动态和动态的动态系统,数据,从而显示我们动态的动态的动态的动态系统。</s>