[1] 杨必胜,陈驰,董震.面向智能化测绘的城市地物三维提取[J].测绘学报,2022,51(7):1476-1484. [2] 姜皓然,许章平,相涛.多源数据融合的城市三维实景建模[J].测绘通报,2025(S1):124-127. [3] 刘欣怡,张永军,范伟伟,等.无人机倾斜摄影三维建模技术研究现状及展望[J].时空信息学报,2023,30(1):41-48. [4] Mildenhall B,Srinivasan P P,Tancik M,et al.NeRF:representing scenes as neural radiance fields for view synthesis[C]//Proceedings of 2020 Computer Vision-ECCV.Cham:Springer International Publishing,2020:405-421. [5] Kerbl B,Kopanas G,Leimkuehler T,et al.3D Gaussian splatting for real-time radiance field rendering[J].ACM Transactions on Graphics,2023,42(4):1-14. [6] Kerbl B,Meuleman A,Kopanas G,et al.A hierarchical 3D Gaussian representation for real-time rendering of very large datasets[J].ACM Transactions on Graphics,2024,43(4):1-15. [7] Liu Yang,Luo Chuanchen,Mao Zhongkai,et al.CityGaussianV2:efficient and geometrically accurate reconstruction for large-scale scenes[C]//Proceedings of 2025 International Conference on Learning Represen-tations.Washington,DC:ICLR,2025:265-282. [8] Meuleman A,Shah I,Lanvin A,et al.On-the-fly reconstruction for large-scale novel view synthesis from unposed images[J].ACM Transactions on Graphics,2025,44(4):1-14. [9] 徐郑冰,冯国正,邹阳,等.多源测绘地理信息数据融合的三维高斯泼溅建模技术[J].测绘通报,2025(11):176-180. [10] Jiang Lihan,Ren Kerui,Yu Mulin,et al.Horizon-gs:unified 3D Gaussian splatting for large-scale aerial-to-ground scenes[C]//Proceedings of 2025 IEEE/CVF Conference on Computer Vision and Pattern Recogni-tion.Nashville:IEEE,2025:26789-26799. [11] Ham Y,Michalkiewicz M,Balakrishnan G.DRAGON:drone and ground Gaussian splatting for 3D building reconstruction[C]//Proceedings of 2024 IEEE International Conference on Computational Photography.Lausanne:IEEE,2024:1-12. [12] Rombach R,Blattmann A,Lorenz D,et al.High-resolution image synthesis with latent diffusion models[C]//Proceedings of 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition.New Orleans:IEEE,2022:10674-10685. [13] Lu Guanxing,Jia Baoxiong,Li Puhao,et al.GWM:towards scalable Gaussian world models for robotic manipulation[C]//Proceedings of 2025 IEEE/CVF International Conference on Computer Vision.Honolulu:IEEE,2025:9263-9274. [14] Zhou J,Gao Hang,Voleti V,et al.Stable virtual camera:generative view synthesis with diffusion models[C]//Proceedings of 2025 IEEE/CVF International Conference on Computer Vision.Honolulu:IEEE,2025:12405-12414. [15] Wu J Z,Zhang Y X,Turki H,et al.Difix3D+:improving 3D reconstructions with single-step diffusion models[C]//Proceedings of 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition.Nashville:IEEE,2025:26024-26035. [16] Liu Yifei,Zhong Zhihang,Zhan Yifan,et al.MaskGaussian:adaptive 3D Gaussian representation from probabilistic masks[C]//Proceedings of 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition.Nashville:IEEE,2025:681-690. [17] Wang Z,Bovik A C,Sheikh H R,et al.Image quality assessment:from error visibility to structural similarity[J].IEEE Transactions on Image Processing,2004,13(4):600-612. [18] Zhang R,Isola P,Efros A A,et al.The unreasonable effectiveness of deep features as a perceptual metric[C]//Proceedings of 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.Salt Lake City:IEEE,2018:586-595. |