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Depth completion is the task of generating a dense depth map given an image and a sparse depth map as inputs.
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Conti, A., Poggi, M., Mattoccia, S.: Sparsity agnostic depth completion. In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision. pp. 5871–5880 (2023)
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Shao, S., Pei, Z., Chen, W., Wu, X., Li, Z.: Nddepth: Normal-distance assisted monocular depth estimation. In: ICCV. pp. 7931–7940 (2023)
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Wang, Y., Li, B., Zhang, G., Liu, Q., Gao, T., Dai, Y.: Lrru: Long-short range recurrent updating networks for depth completion. In: CVPR. pp. 9422–9432 (2023)
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Zhang, Y., Guo, X., Poggi, M., Zhu, Z., Huang, G., Mattoccia, S.: Completionformer: Depth completion with convolutions and vision transformers. In: CVPR (2023)
2023
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Zhou, W., Yan, X., Liao, Y., Lin, Y., Huang, J., Zhao, G., Cui, S., Li, Z.: Bev@dc: Bird’s-eye view assisted training for depth completion. In: CVPR. pp. 9233–9242 (2023)
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