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App. Res. of Comp. Accepted Paper
Vol. 43, 2026 No. 3

Dual-path reconstruction algorithm based on semantically embedded 3d Gaussian splatting

Wang Bo
Li Shaobo
Pan Jiaxing
Ren Hao
School of Automation and Electrical Engineering, Inner Mongolia University of Science and Technology, Nei Mongol Baotou 014010, China
DOI: 10.19734/j.issn.1001-3695.2025.06.0263

Abstract

3D Gaussian Splatting (3DGS) lacks the capability to incorporate semantic information within its explicit Gaussian distributions, which restricts its use in semantic perception reconstruction. In response to the above, This work proposes a dual-path reconstruction algorithm that embeds semantics into 3D Gaussian Splatting. First, The algorithm operates by projecting 2D semantic features from pre-trained models into 3D Gaussian distributions, utilizing their spatial relationships; Then, A dual-path collaborative rendering strategy fuses fast rasterized rendering and depth-aware volume rendering to enhance output quality; Finally, An exposure-compensated image loss optimization model suppresses artifacts caused by lighting variations. Experimental results on the Tanks&Tempels dataset show that the SDP-GS algorithm improves PSNR and SSIM by 9% and 8%, respectively, and reduces LPIPS by 41% compared to the baseline PSNR and SSIM. The experiments verify the effectiveness of the algorithm, and the SDP-GS algorithm not only successfully embeds the semantic features into the 3D Gaussian splatting model, but also realizes the high-fidelity reconstruction.

Foundation Support

内蒙古自然科学基金资助项目(2022LHMS06002)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2025.06.0263
Publish at: Application Research of Computers Accepted Paper, Vol. 43, 2026 No. 3

Publish History

[2025-11-18] Accepted Paper

Cite This Article

王博, 李少波, 潘家兴, 等. 基于语义嵌入三维高斯溅射的双路径重建算法 [J]. 计算机应用研究, 2026, 43 (3). (2025-11-18). https://doi.org/10.19734/j.issn.1001-3695.2025.06.0263. (Wang Bo, Li Shaobo, Pan Jiaxing, et al. Dual-path reconstruction algorithm based on semantically embedded 3d Gaussian splatting [J]. Application Research of Computers, 2026, 43 (3). (2025-11-18). https://doi.org/10.19734/j.issn.1001-3695.2025.06.0263. )

About the Journal

  • 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.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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