depth fusion by deep learning

under construction ...

Depth Fusion from RGB and Depth Sensors

•1. Sparsity Invariant CNNs

•2. Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image

•3. Self-Supervised Sparse-to-Dense: Depth Completion from LiDAR and Monocular Camera

•4. Fusion of stereo and still monocular depth estimates in a self-supervised learning context

•5. Deep Depth Completion of a Single RGB-D Image

•6. Estimating Depth from RGB and Sparse Sensing

•Appendix: InterpoNet, a brain inspired NN for optic flow dense interpolation