GraphCSPN: Geometry-Aware Depth Completion via Dynamic GCNs
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-19827-4_6
Reference52 articles.
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3. Cheng, X., Wang, P., Guan, C., Yang, R.: CSPN++: learning context and resource aware convolutional spatial propagation networks for depth completion. In: Proceedings of the AAAI Conference on Artificial Intelligence, pp. 10615–10622 (2020)
4. Lecture Notes in Computer Science;X Cheng,2018
5. Diaz, C., Walker, M., Szafir, D.A., Szafir, D.: Designing for depth perceptions in augmented reality. In: 2017 IEEE International Symposium on Mixed and Augmented Reality (ISMAR), pp. 111–122. IEEE (2017)
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