3D Semantic Scene Completion: A Survey

Author:

Roldão LuisORCID,de Charette Raoul,Verroust-Blondet Anne

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

Reference182 articles.

1. Abbasi, A., Kalkan, S., & Sahillioglu, Y. (2018). Deep 3D semantic scene extrapolation. The Visual Computer, 35(2), 271–279.

2. Ahmed, E., Saint, A., Shabayek, A. E. R., Cherenkova, K., Das, R., Gusev, G., Aouada, D., & Ottersten, B. (2018). A survey on deep learning advances on different 3d data representations. arXiv:1808.01462.

3. Armeni, I., Sax, S., Zamir, A., & Savarese, S. (2017). Joint 2D-3D-semantic data for indoor scene understanding. arXiv:1702.01105.

4. Avetisyan, A., Dahnert, M., Dai, A., Savva, M., Chang, A. X., & Nießner, M. (2019). Scan2CAD: Learning CAD model alignment in RGB-D scans. In Cvpr (pp. 2614–2623).

5. Avetisyan, A., Khanova, T., Choy, C., Dash, D., Dai, A., & Nießner, M. (2020). SceneCAD: Predicting object alignments and layouts in RGB-D scans. In Eccv.

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