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UVG-GS: Human-Centric Gaussian Splats Dataset for Visual Volumetric Compression

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

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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.

Original languageEnglish
Title of host publication2026 18th International Conference on Quality of Multimedia Experience, QoMEX 2026
PublisherIEEE
ISBN (Electronic)979-8-3195-0032-8
DOIs
Publication statusPublished - 2026
Publication typeA4 Article in conference proceedings
EventInternational Conference on Quality of Multimedia Experience - Cardiff, United Kingdom
Duration: 29 Jun 2026 → 3 Jul 2026

Publication series

NameInternational Conference on Quality of Multimedia Experience
ISSN (Electronic)2472-7814

Conference

ConferenceInternational Conference on Quality of Multimedia Experience
Country/TerritoryUnited Kingdom
CityCardiff
Period29/06/26 → 3/07/26

Keywords

  • 3D reconstruction
  • dataset
  • Gaussian splats (GS)
  • RGB-D
  • Visual Volumetric Video-based Coding (V3C)

Publication forum classification

  • Publication forum level 1

ASJC Scopus subject areas

  • Signal Processing
  • Safety, Risk, Reliability and Quality
  • Media Technology
  • Modelling and Simulation

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