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Semantic Scene Completion (SSC) aims to jointly generate space occupancies and semantic labels for complex 3D scenes.
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X. Yu, Y. Rao, Z. Wang, Z. Liu, J. Lu, and J. Zhou, “Pointr: Diverse point cloud completion with geometry-aware transformers,” in Proceedings of the IEEE/CVF international conference on computer vision , 2021, pp. 12 498–12 507
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S. Zhang, S. Li, A. Hao, and H. Qin, “Point cloud semantic scene completion from rgb-d images,” in Proceedings of the AAAI Conference on Artificial Intelligence , vol. 35, no. 4, 2021, pp. 3385–3393
2021
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X. Yan, J. Gao, J. Li, R. Zhang, Z. Li, R. Huang, and S. Cui, “Sparse single sweep lidar point cloud segmentation via learning contextual shape priors from scene completion,” in Proceedings of the AAAI Conference on Artificial Intelligence , vol. 35, no. 4, 2021, pp. 3101–3109
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2021
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J. Tang, X. Chen, J. Wang, and G. Zeng, “Not all voxels are equal: Semantic scene completion from the point-voxel perspective,” in Proceedings of the AAAI Conference on Artificial Intelligence , vol. 36, no. 2, 2022, pp. 2352–2360
2022
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X. Wang, D. Lin, and L. Wan, “Ffnet: Frequency fusion network for semantic scene completion,” in Proceedings of the AAAI Conference on Artificial Intelligence , vol. 36, no. 3, 2022, pp. 2550–2557
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A.-Q. Cao and R. de Charette, “Monoscene: Monocular 3d semantic scene completion,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , 2022, pp. 3991–4001
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Z. Xia, Y. Liu, X. Li, X. Zhu, Y. Ma, Y. Li, Y. Hou, and Y. Qiao, “Scpnet: Semantic scene completion on point cloud,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , 2023, pp. 17 642–17 651
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Y. Li, Z. Yu, C. Choy, C. Xiao, J. M. Alvarez, S. Fidler, C. Feng, and A. Anandkumar, “Voxformer: Sparse voxel transformer for camera-based 3d semantic scene completion,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , 2023, pp. 9087–9098
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Y. Huang, W. Zheng, Y. Zhang, J. Zhou, and J. Lu, “Tri-perspective view for vision-based 3d semantic occupancy prediction,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , 2023, pp. 9223–9232
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