Author:
Pauls Aleksandra,Pierdicca Roberto,Mancini Adriano,Zingaretti Primo
Publisher
Springer Nature Switzerland
Reference37 articles.
1. Depth predictions in art. https://storage.googleapis.com/art/history/depth/data/demo/index.html
2. Altınbay, R., Gümüş, N.: Social studies teachers’ views on the virtual tour applications. J. Innov. Res. Teacher Educ. 1(1), 60–71 (2020). https://doi.org/10.29329/jirte.2020.321.5
3. Chen, P.Y., Liu, A.H., Liu, Y.C., Wang, Y.C.F.: Towards scene understanding: unsupervised monocular depth estimation with semantic-aware representation. In: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 2619–2627 (2019). https://doi.org/10.1109/CVPR.2019.00273
4. Chen, T., An, S., Zhang, Y., Ma, C., Wang, H., Guo, X., Zheng, W.: Improving monocular depth estimation by leveraging structural awareness and complementary datasets. CoRR abs/2007.11256 (2020). https://arxiv.org/abs/2007.11256
5. Ehret, T.: Monocular depth estimation: a review of the 2022 state of the art. Image Processing On Line 13, 38–56 (2023). https://doi.org/10.5201/ipol.2023.459