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Image guided depth completion is the task of generating a dense depth map from a sparse depth map and a high quality image.
A. Geiger, P. Lenz, and R. Urtasun, “Are we ready for autonomous driving? the kitti vision benchmark suite,” in CVPR , 2012
2012
Earlier work this paper cites.
J. Liu and X. Gong, “Guided depth enhancement via anisotropic diffusion,” in PCM , 2013
2013
Earlier work this paper cites.
D. Eigen, C. Puhrsch, and R. Fergus, “Depth map prediction from a single image using a multi-scale deep network,” in NIPS , 2014
2014
Earlier work this paper cites.
S. Liu, S. D. Mello, J. Gu, G. Zhong, M.-H. Yang, and J. Kautz, “Learning affinity via spatial propagation networks,” in NIPS , 2014
2014
Earlier work this paper cites.
2014
Earlier work this paper cites.
M. Cordts, M. Omran, S. Ramos, T. Rehfeld, M. Enzweiler, R. Benenson, U. Franke, S. Roth, and B. Schiele, “The cityscapes dataset for semantic urban scene understanding,” in CVPR , 2016
2016
Earlier work this paper cites.
N. Schneider, L. Schneider, P. Pinggera, U. Franke, M. Pollefeys, and C. Stiller, “Semantically guided depth upsampling,” in GCPR , 2016
2016
Earlier work this paper cites.
K. He, X. Zhang, S. Ren, and J. Sun, “Deep residual learning for image recognition,” in CVPR , 2016
2016
Earlier work this paper cites.
F. Yu and V. Koltun, “Multi-scale context aggregation by dilated convolutions,” in ICLR , 2016
2016
Earlier work this paper cites.
J. Uhrig, N. Schneider, L. Schneider, U. Franke, T. Brox, and A. Geiger, “Sparsity invariant cnns,” in 3DV , 2017
2017
Earlier work this paper cites.
M. Jaritz, R. de Charette, E. Wirbel, X. Perrotton, and F. Nashashibi, “Sparse and dense data with cnns: Depth completion and semantic segmentation,” in 3DV , 2018
2018
Earlier work this paper cites.
J. Hua and X. Gong, “A normalized convolutional neural network for guided sparse depth upsampling,” in IJCAI , 2018
2018
Cited alongside, same era.
X. Cheng, P. Wang, and R. Yang, “Depth estimation via affinity learned with convolutional spatial propagation network,” in ECCV , 2018
2018
Cited alongside, same era.
A. Eldesokey, M. Felsberg, and F. S. Khan, “Propagating confidences through cnns for sparse data regression,” in BMVC , 2018
2018
Cited alongside, same era.
B. Wang, Y. Feng, and H. Liu, “Multi-scale features fusion from sparse lidar data and single image for depth completion,” Electronics Letters , vol. 54, no. 24, pp. 1375–1377, 2018
2018
Cited alongside, same era.
R. Liu, J. Lehman, P. Molino, F. P. Such, E. Frank, A. Sergeev, and J. Yosinski, “An intriguing failing of convolutional neural networks and the coordconv solution,” in NIPS , 2018
Y. Chen, B. Yang, M. Liang, and R. Urtasun, “Learning joint 2d-3d representations for depth completion,” in ICCV , 2019
2019
Later among the works it cites.
A. Paszke, S. Gross, F. Massa, A. Lerer, J. Bradbury, G. Chanan, Z. Killeen, T.and Lin, N. Gimelshein, L. Antiga, A. Desmaison, A. Köpf, E. Yang, Z. DeVito, M. Raison, A. Tejani, S. Chilamkurthy, B. Steiner, L. Fang, J. Bai, and S. Chintala, “Pytorch: An imperative style, high-performance deep learning library,” in NeuroIPS , 2019
2019
Later among the works it cites.
X. Cheng, P. Wang, C. Guan, and R. Yang, “Cspn++: Learning context and resource aware convolutional spatial propagation networks for depth completion,” in AAAI , 2020
2020
Later among the works it cites.
A. Eldesokey, M. Felsberg, K. Holmquist, and M. Persson, “Uncertainty-aware cnns for depth completion: Uncertainty from beginning to end,” in CVPR , 2020
2020
Later among the works it cites.
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2018
Cited alongside, same era.
F. Mal and S. Karaman, “Sparse-to-dense: Depth prediction from sparse depth samples and a single image,” in ICRA , 2018
2018
Cited alongside, same era.
2019
Cited alongside, same era.
W. V. Gansbeke, D. Neven, B. D. Brabandere, and L. V. Gool, “Sparse and noisy lidar completion with rgb guidance and uncertainty,” in MAV , 2019
2019
Cited alongside, same era.
J. Qiu, Z. Cui, Y. Zhang, X. Zhang, S. Liu, B. Zeng, and M. Pollefeys, “Deeplidar: Deep surface normal guided depth prediction for outdoor scene from sparse lidar data and single color image,” in CVPR , 2019
2019
Cited alongside, same era.
Z. Huang, J. Fan, S. Cheng, S. Yi, X. Wang, and H. Li, “Hms-net: Hierarchical multi-scale sparsity-invariant network for sparse depth completion,” IEEE Transactions on Image Processing , pp. 3429–3441, 2019
2019
Cited alongside, same era.
Y. Xu, X. Zhu, J. Shi, G. Zhang, H. Bao, and H. Li, “Depth completion from sparse lidar data with depth-normal constraints,” in ICCV , 2019
2019
Cited alongside, same era.
A. Li, Z. Yuan, Y. Ling, W. Chi, S. Zhang, and C. Zhang, “A multi-scale guided cascade hourglass network for depth completion,” in WACV , 2020
2020
Later among the works it cites.
J. Park, K. Joo, Z. Hu, C.-K. Liu, and I. S. Kweon, “Non-local spatial propagation network for depth completion,” in ECCV , 2020
2020
Later among the works it cites.
2020
Later among the works it cites.
X. Wang, T. Kong, C. Shen, Y. Jiang, and L. Li, “Solo: Segmenting objects by locations,” in ECCV , 2020
2020
Later among the works it cites.
S. Choi, J. T. Kim, and J. Choo, “Cars can’t fly up in the sky: Improving urban-scene segmentation via height-driven attention networks,” in CVPR , 2020
2020
Later among the works it cites.
2020
Later among the works it cites.