App. Res. of Comp. Accepted Paper
Vol. 43, 2026 No. 5

Sparse multi-view novel view synthesis algorithm based on locally continuous Gaussian densification

Xie Yuecong1
Chen Jia1
Cai Cailong1
Wang Dong1
Li Fang2
1. College of Mathematics and Information, South China Agricultural University, Guangzhou 510642, China
2. College of Computer and Information Security, Guilin University of Electronic Technology, Guilin Guangxi 541004, China
DOI: 10.19734/j.issn.1001-3695.2025.07.0371

Abstract

Sparse multi-view 3D reconstruction finds wide application in virtual reality, digital human modeling, and robot vision. However, existing methods still exhibit clear limitations in detail representation and geometric accuracy due to insufficient initial reconstruction information. This paper proposes a sparse multi-view 3D reconstruction algorithm based on Gaussian local continuous densification to improve reconstruction quality and robustness under sparse input conditions. The algorithm builds on an initial 3D Gaussian model. It densified sparse Gaussian regions by interpolating new Gaussian points with neighborhood geometric continuity to enhance local structure representation. The loss function incorporates depth regularization and normal regularization terms to optimize geometric consistency and suppress artifact generation. Experiments on self-collected datasets and public datasets demonstrated that the proposed algorithm significantly improved novel-view synthesis quality. It outperformed multiple existing sparse multi-view 3D reconstruction algorithms on several evaluation metrics. The proposed algorithm exhibits strong generalization ability and reconstruction accuracy.

Foundation Support

广西科技重大专项(AA23073007,AA24263013)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2025.07.0371
Publish at: Application Research of Computers Accepted Paper, Vol. 43, 2026 No. 5

Publish History

[2026-01-08] Accepted Paper

Cite This Article

谢粤聪, 陈嘉, 蔡财龙, 等. 基于高斯局部连续致密化的稀疏多视图三维重建算法 [J]. 计算机应用研究, 2026, 43 (5). (2026-01-20). https://doi.org/10.19734/j.issn.1001-3695.2025.07.0371. (Xie Yuecong, Chen Jia, Cai Cailong, et al. Sparse multi-view novel view synthesis algorithm based on locally continuous Gaussian densification [J]. Application Research of Computers, 2026, 43 (5). (2026-01-20). https://doi.org/10.19734/j.issn.1001-3695.2025.07.0371. )

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  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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