ICRA'18 "Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image"

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Sparse-To-Dense: Depth Prediction from Sparse Depth Samples and a Single Image Sparse-To-Dense: Depth Prediction from Sparse Depth Samples and a Single Image
Self-supervised Sparse-to-Dense: Self-supervised Depth Completion from LiDAR and Monocular Camera Self-supervised Sparse-to-Dense: Self-supervised Depth Completion from LiDAR and Monocular Camera
Robust Dense Mapping for Large-Scale Dynamic Environments Robust Dense Mapping for Large-Scale Dynamic Environments
Balanced Depth Completion between Dense Depth Inference and Sparse Range Measurements (IROS 2020) Balanced Depth Completion between Dense Depth Inference and Sparse Range Measurements (IROS 2020)
Sparse Depth Sensing (extended) Sparse Depth Sensing (extended)
Unsupervised CNN for Single View Depth Estimation: Geometry to the Rescue Unsupervised CNN for Single View Depth Estimation: Geometry to the Rescue
SG-NN: Sparse Generative Neural Networks for Self-Supervised Scene Completion of RGB-D Scans (CVPR) SG-NN: Sparse Generative Neural Networks for Self-Supervised Scene Completion of RGB-D Scans (CVPR)
Sparse- and Noisy-to-Dense Depth Map Upsampling Based on Mesh and Colour Consistency Sparse- and Noisy-to-Dense Depth Map Upsampling Based on Mesh and Colour Consistency