3D Gaussian Splatting as a New Era: A Survey.

Journal: IEEE transactions on visualization and computer graphics
Published Date: Aug 1, 2025

Abstract

3D Gaussian Splatting (3D-GS) has emerged as a significant advancement in the field of computer graphics and 3D vision, offering explicit scene representation and novel view synthesis without the reliance on neural networks. This technique has found diverse applications in areas such as robotics, urban mapping, autonomous navigation, and virtual reality/augmented reality, just name a few. Given the growing popularity and expanding research in 3D-GS, this paper presents a comprehensive survey of relevant papers from the past year. We organize the survey into taxonomies based on characteristics and applications, providing an introduction to the theoretical underpinnings of 3D-GS. The survey aims to introduce the theoretical foundations of 3D Gaussian Splatting and provide a reference for new researchers while inspiring future research directions.

Authors

  • Ben Fei
  • Jingyi Xu
    School of Marxism of Tianjin University, Tianjin 300350, China.
  • Rui Zhang
    Department of Cardiology, Zhongda Hospital, Medical School of Southeast University, Nanjing, China.
  • Qingyuan Zhou
    School of Economics and Management, Changzhou Vocational Institute of Mechatronic Technology, Changzhou, China.
  • Weidong Yang
    Materials Science and Engineering, National University of Singapore, 117575 Singapore, Singapore.
  • Ying He
    Cancer Research Center Nantong, Affiliated Tumor Hospital of Nantong University, and Medical School of Nantong University, Nantong, China.

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