计算机应用研究2026，Vol.43Issue(4)：1245-1250,6.DOI:10.19734/j.issn.1001-3695.2025.06.0263
基于语义嵌入三维高斯溅射的双路径重建算法
Dual-path reconstruction algorithm based on semantically embedded 3D Gaussian splatting
摘要
Abstract
3DGS lacks the capability to incorporate semantic information within its explicit Gaussian distributions,which re-stricts its use in semantic perception reconstruction.In response to the above,this work proposed a dual-path reconstruction al-gorithm that embedded semantics into 3D Gaussian splatting.Firstly,the algorithm operated by projecting 2D semantic features from pre-trained models into 3D Gaussian distributions,utilizing their spatial relationships.Then,a dual-path collaborative ren-dering strategy fused fast rasterized rendering and depth-aware volume rendering to enhance output quality.Finally,an expo-sure-compensated image loss optimization model suppressed artifacts caused by lighting variations.Experimental results on the Tanks&Tempels dataset show that SDP-GS improves PSNR and SSIM by 9％and 8％,respectively,and reduces LPIPS by 41％compared to the baseline PSNR and SSIM.SDP-GS not only successfully embeds the semantic features into the 3D Gaussian splatting model,but also realizes the high-fidelity reconstruction.关键词
三维高斯溅射/语义特征投影/双路径协同渲染/曝光补偿Key words
3D Gaussian splatting/semantic feature projection/dual-path collaborative rendering/exposure compensation分类
信息技术与安全科学引用本文复制引用
王博,李少波,潘家兴,任皓..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(4):1245-1250,6.基金项目
内蒙古自然科学基金资助项目(2022LHMS06002) （2022LHMS06002）
