English(EN) Efficient Gaussian Splatting Sequence Compression with Standard Video Codecs

新的GSCV方法利用视频编解码器增强高斯喷涂序列压缩

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-07 04:00

研究人员开发了一种名为高斯喷涂序列压缩（GSCV）的新方法，该方法利用标准视频编解码器来压缩高斯喷涂（GS）序列。与以往依赖跟踪原始信息的方法不同，GSCV 采用了 Inter-PLAS 技术来提高帧间相关性，即使没有这些跟踪数据。这种方法提高了高比特深度 GS 图像的可压缩性和质量，性能优于现有的 MPEG 视频和基于点云的压缩方法。 AI

影响该方法可能导致更高效地存储和传输由高斯喷涂生成的 3D 场景数据。

排序理由该集群包含一篇详细介绍高斯喷涂序列压缩新方法的论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

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报道来源 [1]

arXiv cs.CV TIER_1 English(EN) · Qi Yang, Shuting Xia, Le Yang, Geert Van Der Auwera, Zhu Li · 2026-10-07 04:00

使用标准视频编解码器实现高效高斯溅射序列压缩

arXiv:2610.07795v1 Announce Type: new Abstract: This paper presents a novel effective Gaussian Splatting (GS) sequence Compression method that utilizes the Video codec (GSCV). Existing video-based GS sequence compression relies on the Parallel Linear Assignment Sorting (PLAS) and…

本文如何被排名

报道来源 [1]

使用标准视频编解码器实现高效高斯溅射序列压缩

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