Cheng et al, Learning Depth with Convolutional Spatial Propagation Network, arXiv 2018, PDF, Code
Zhang et al, Deep Depth Completion of a Single RGB-D Image, CVPR 2018, PDF
Qiu et al, DeepLiDAR: Deep Surface Normal Guided Depth Prediction for Outdoor Scene from Sparse LiDAR Data and Single Color Image, CVPR 2019, PDF, Code
Chen et al, Learning Joint 2D-3D Representations for Depth Completion, ICCV 2019, PDF
Tang et al, Learning Guided Convolutional Network for Depth Completion, arXiv 2019, PDF, Code
HMS-Net: Hierarchical Multi-scale Sparsity-invariant Network for Sparse Depth Completion(太复杂,效果不好)
Sparse and noisy LiDAR completion with RGB guidance and uncertainty
3D LiDAR and Stereo Fusion using Stereo Matching Network with Conditional Cost Volume Normalization
Deep RGB-D Canonical Correlation Analysis For Sparse Depth Completion
Confidence Propagation through CNNs for Guided Sparse Depth Regression
Learning Guided Convolutional Network for Depth Completion
DFineNet: Ego-Motion Estimation and Depth Refinement from Sparse, Noisy Depth Input with RGB Guidance
PLIN: A Network for Pseudo-LiDAR Point Cloud Interpolation
Depth Completion from Sparse LiDAR Data with Depth-Normal Constraints
4. 深度图融合
Marin et al, Reliable Fusion of ToF and Stereo Depth Driven by Confidence Measures, ECCV 2016, PDF
Agresti et al, Deep Learning for Confidence Information in Stereo and ToF Data Fusion, ICCVW 2017, Web
5. Depth数据集
Srinivasan et al, Aperture Supervision for Monocular Depth Estimation, CVPR 2018, Code
Li et al, MegaDepth: Learning Single-View Depth Prediction from Internet Photos, CVPR 2018, Web
Monocular Relative Depth Perception with Web Stereo Data Supervision, CVPR 2018, PDF
Li et al, Learning the depths of moving people by watching frozen people, CVPR 2019, Web
Chen et al, Learning Single-Image Depth from Videos using Quality Assessment Networks, CVPR 2019, PDF
Li et al, Learning the Depths of Moving People by Watching Frozen People, CVPR 2019(oral), PDF