@inproceedings{692f19219a8048c29f53b11b390e34c8,
title = "UVG-GS: Human-Centric Gaussian Splats Dataset for Visual Volumetric Compression",
abstract = "Gaussian splats (GS) enable high-quality 3D reconstruction but also pose significant challenges for efficient compression. This paper introduces UVG-GS, a human-centric dataset designed for compression-oriented evaluation of GS. The dataset comprises 11 human-centric sequences that extend our existing point cloud and mesh datasets by incorporating GS representations. These representations are obtained through depth-guided manual segmentation and third-party standard tools, such as COLMAP and gsplat. Our dataset also provides RGB-D data, camera parameters, segmentation masks, and the complete GS processing pipeline to support reproducible research on GS generation and compression.",
keywords = "3D reconstruction, dataset, Gaussian splats (GS), RGB-D, Visual Volumetric Video-based Coding (V3C)",
author = "Uyen Phan and Alexandre Mercat and \{Rondao Alface\}, Patrice and Louis Fr{\'e}neau and Jarno Vanne and Guillaume Gautier",
note = "Publisher Copyright: {\textcopyright} 2026 IEEE.; International Conference on Quality of Multimedia Experience ; Conference date: 29-06-2026 Through 03-07-2026",
year = "2026",
doi = "10.1109/QoMEX69967.2026.11618359",
language = "English",
series = "International Conference on Quality of Multimedia Experience",
publisher = "IEEE",
booktitle = "2026 18th International Conference on Quality of Multimedia Experience, QoMEX 2026",
address = "United States",
}