AI驱动的体积视频流传输创新：综述
AI-Driven Innovations in Volumetric Video Streaming: A Review
AI总结：
本文综述了AI驱动的体积视频流传输技术，旨在解决其传输与渲染挑战，提升效率与质量，并展望未来应用方向。
摘要：
近年来，为增强沉浸式和交互式用户体验所做的努力推动了体积视频的发展，这是一种支持6自由度（6 DoF）的3D内容形式。与传统的2D内容不同，体积内容可以通过多种方式表示，如点云、网格或神经表示。然而，由于其复杂的结构和大数据量，部署这种新形式的3D数据在传输和渲染方面带来了重大挑战。这些挑战阻碍了体积视频在日常应用中的广泛采用。近年来，研究人员提出了各种AI驱动的技术来应对这些挑战，并提高体积内容流传输的效率和质量。本文全面概述了AI驱动方法在促进体积内容流传输方面的最新进展。通过本次综述，我们旨在提供对当前最先进技术的见解，并建议推进体积视频流传输在实际应用中部署的潜在未来方向。
英文摘要：
Recent efforts to enhance immersive and interactive user experiences have driven the development of volumetric video, a form of 3D content that enables 6 DoF. Unlike traditional 2D content, volumetric content can be represented in various ways, such as point clouds, meshes, or neural representations. However, due to its complex structure and large amounts of data size, deploying this new form of 3D data presents significant challenges in transmission and rendering. These challenges have hindered the widespread adoption of volumetric video in daily applications. In recent years, researchers have proposed various AI-driven techniques to address these challenges and improve the efficiency and quality of volumetric content streaming. This paper provides a comprehensive overview of recent advances in AI-driven approaches to facilitate volumetric content streaming. Through this review, we aim to offer insights into the current state-of-the-art and suggest potential future directions for advancing the deployment of volumetric video streaming in real-world applications.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
