Current Status and Prospects of Complex Scene Reconstruction Based on Gaussian Splatting

Authors

• Hong'an Li, College of Artificial Intelligence & Computer Science, Xi'an University of Science and Technology, Xi'an 710054, China; State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing 100191, China
• Jiale Yang, College of Artificial Intelligence & Computer Science, Xi'an University of Science and Technology, Xi'an 710054, China
• Qingfang Liu, Training Center of China Post Group, Shijiazhuang 050021, China
• Yu Shi, Weiyang Sub-Bureau of Xi'an Public Security Bureau, Xi'an 710016, China

Abstract

Three-dimensional Gaussian splatting (3DGS) provides an alternative approach for novel view synthesis from the perspective of explicit representation. By reconstructing scenes using 3D Gaussian primitives and replacing traditional ray integration with a point-based rasterization process, it not only improves training and rendering efficiency but also offers new insights for complex scene reconstruction. This paper divided 3DGS-based complex scene reconstruction methods into three major categories and elaborated on them around large-scale scenes, sparse views, and dynamic scenes. It reviewed the current development status of this field and pointed out possible future research directions.

Recommended Citation

Li, Hong'an; Yang, Jiale; Liu, Qingfang; and Shi, Yu (2026) "Current Status and Prospects of Complex Scene Reconstruction Based on Gaussian Splatting," Journal of System Simulation: Vol. 38: Iss. 6, Article 7.
DOI: 10.16182/j.issn1004731x.joss.25-1144
Available at: https://dc-china-simulation.researchcommons.org/journal/vol38/iss6/7

First Page

1535

Last Page

1566

CLC

TP391.4

Recommended Citation

Li Hong'an, Yang Jiale, Liu Qingfang, et al. Current Status and Prospects of Complex Scene Reconstruction Based on Gaussian Splatting[J]. Journal of System Simulation, 2026, 38(6): 1535-1566.

Corresponding Author

Liu Qingfang

DOI

10.16182/j.issn1004731x.joss.25-1144