3DSRASG: 3D Scene Retrieval and Augmentation Using Semantic Graphs
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-86230-5_25
Reference10 articles.
1. Wald, J., Dhamo, H., Navab, N., Tombari, F.: Learning 3D semantic scene graphs from 3D indoor reconstructions. In: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
2. Wang, K., Lin, Y.-A., Weissmann, B., Savva, M., Chang, A.X., Ritchie, D.: PlanIT: planning and instantiating indoor scenes with relation graph and spatial prior networks. ACM Trans. Graph. 38(4), 1–15 (2019)
3. Ma, R., et al.: Language-driven synthesis of 3D scenes from scene databases. ACM (2018)
4. Balint, J.T., Bidarra, R.: A generalized semantic representation for procedural generation of rooms. In: Proceedings of the 14th International Conference on the Foundations of Digital Games (2019)
5. Agostini, A., Celaya, E.: Reinforcement learning with a Gaussian mixture model. In: The 2010 International Joint Conference on Neural Networks (IJCNN) (2010)
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