title	comments	date	categories	tags
Awesome Depth Completion	true	2019-11-11 02:15:16 -0800	Depth Completion	Depth Completion Research Review

Awesome Depth Completion

a curated list of papers for depth completion

Papers and Codes

1. Sparsity Invariant CNNs. (3DV 17) [paper] (Unofficial)[code code]
2. A Normalized Convolutional Neural Network for Guided Sparse Depth Upsampling. (IJCAI 18) [paper]
3. In Defense of Classical Image Processing Fast Depth Completion on the CPU. (CRV 18) [paper] [code]
4. Deep Convolutional Compressed Sensing for LiDAR Depth Completion. (ACCV 18) [paper] [code]
5. HMS-Net Hierarchical Multi-scale Sparsity-invariant Network for Sparse Depth Completion. (ArXiv 18) [paper]
6. Propagating Confidences through CNNs for Sparse Data Regression. (BMVC 18) ==Nconv without RGB== [paper] [code]
7. Confidence Propagation through CNNs for Guided Sparse Depth Regression. (PAMI 19) [paper] [code]
8. Sparse and Dense Data with CNNs Depth Completion and Semantic Segmentation. (3DV 18) [paper]
9. Sparse-to-Dense Depth Prediction from Sparse Depth Samples and a Single Image. (ICRA 18) [paper] [code]
10. Self-Supervised Sparse-to-Dense: Self-Supervised Depth Completion from LiDAR and Monocular Camera. (ICRA 19) [paper] [code]
11. Depth Estimation via Affinity Learned with Convolutional Spatial Propagation Network. (ECCV 18) [paper] [code]
12. Learning depth with convolutional spatial propagation network. (PAMI 19) [paper] [code]
13. DeepLiDAR Deep Surface Normal Guided Depth Prediction for Outdoor Scene. (CVPR 19) [paper] [code]
14. Sparse and noisy LiDAR completion with RGB guidance and uncertainty. (MVA 19) [paper] [code]
15. Depth Coefficients for Depth Completion. (CVPR 19) [paper]
16. Dense Depth Posterior (DDP) from Single Image and Sparse Range. (CVPR 19) [paper] [code(not available now)]
17. Learning Joint 2D-3D Representations for Depth Completion. (ICCV 19) [paper]
18. Depth Completion from Sparse LiDAR Data with Depth-Normal Constraints. (ICCV 19) [paper]
19. Learning Guided Convolutional Network for Depth Completion. (ArXiv 19) [paper] [code (not available now)]
20. CSPN++: Learning Context and Resource Aware Convolutional Spatial Propagation Networks for Depth Completion. (AAAI 20) [paper]