UrbanScene3D: A Large Scale Urban Scene Dataset and Simulator
VCC

              Acknowledgements
              
                  This work was supported in parts by NSFC (62161146005, U21B2023, U2001206), GD Talent Program
                  (2019JC05X328), DEGP Key Project (2018KZDXM058, 2020SFKC059), Shenzhen Science and Technology
                  Program
                  (RCJC20200714114435012, JCYJ20210324120213036), and Guangdong Laboratory of Artificial Intelligence
                  and
                  Digital Economy (SZ).
              
              BibTeX
              
                  @inproceedings{UrbanScene3D,
                  title={Capturing, Reconstructing, and Simulating: the UrbanScene3D Dataset},
                  author={Liqiang Lin and Yilin Liu and Yue Hu and Xingguang Yan and Ke Xie and Hui Huang},
                  booktitle={ECCV},
                  pages = {93--109},
                  year={2022},
                  }
              
              References
              
                  
                      
                          Neil Smith, Nils Moehrle, Michael Goesele, and Wolfgang Heidrich. Aerial path planning for
                          urban scene reconstruction: a continuous optimization method and benchmark. ACM Trans. on
                          Graphics (Proc. SIGGRAPH Asia). 37(6): 183:1-183:15, 2018.
                      
                      
                          Xiaohui Zhou, Ke Xie, Kai Huang, Yilin Liu, Yang Zhou, Minglun Gong, and Hui Huang. Offsite
                          aerial path planning for efficient urban scene reconstruction. ACM Trans. on Graphics (Proc.
                          SIGGRAPH Asia). 39(6): 192:1-192:16, 2020.
                      
                      
                          Han Zhang, Yucong Yao, Ke Xie, Chi-Wing Fu, Hao Zhang, and Hui Huang. Continuous aerial path
                          planning for 3D urban scene reconstruction. ACM Trans. on Graphics (Proc. SIGGRAPH Asia).
                          40(6): 225:1-225:15, 2021.
                      
                  
              
          