abdo-eldesokey / nconvLinks
A PyTorch implementation for our work "Confidence Propagation through CNNs for Guided Sparse Depth Regression"
☆89Updated 5 years ago
Alternatives and similar repositories for nconv
Users that are interested in nconv are comparing it to the libraries listed below
Sorting:
- Deep Surface Normal Guided Depth Prediction for Outdoor Scene from Sparse LiDAR Data and Single Color Image (CVPR 2019)☆258Updated 5 years ago
- Implementation for our paper 'Learning Guided Convolutional Network for Depth Completion'☆166Updated 4 years ago
- Noise-Aware Unsupervised Deep Lidar-Stereo Fusion (CVPR 2019)☆54Updated last year
- Implementation of "Stereo and LiDAR Fusion using Stereo Matching Network with Conditional Cost Volume Normalization"☆87Updated 6 years ago
- Pytorch implementation of depth completion architectures (eg. SparseConv, Sparse-to-Dense)☆50Updated 5 years ago
- Code release for "Towards Better Generalization: Joint Depth-Pose Learning without PoseNet".☆269Updated last year
- CVPR 2020 - On the uncertainty of self-supervised monocular depth estimation☆242Updated 2 years ago
- papers and code for depth completion☆26Updated 6 years ago
- [ICCV 2019] Depth Hints are complementary depth suggestions which improve monocular depth estimation algorithms trained from stereo pairs☆188Updated 4 years ago
- SegStereo: Exploiting Semantic Information for Disparity Estimation☆110Updated 7 years ago
- Code for the CVPR paper "CAM-Convs: Camera-Aware Multi-Scale Convolutions for Single-View Depth"☆121Updated 3 years ago
- ITSC 2019 | This is the accompanying code repository for our paper "DFuseNet: Deep Fusion of RGB and Sparse Depth Information for Image G…☆98Updated 6 years ago
- The code for our WACV paper "A Multi-Scale Guided Cascade Hourglass Network for Depth Completion"☆81Updated 4 years ago
- Code for: "Learning To Adapt For Stereo" accepted at CVPR2019☆78Updated 6 years ago
- ☆25Updated 5 years ago
- Dense Matching Benchmark☆173Updated 4 years ago
- This is the offical codes for the methods described in the "Feature-metric Loss for Self-supervised Learning of Depth and Egomotion".☆250Updated 4 years ago
- Learning Monocular Depth by Distilling Cross-domain Stereo Networks, ECCV18☆98Updated 6 years ago
- Geometry meets semantics for semi-supervised monocular depth estimation - ACCV 2018☆110Updated 6 years ago
- The official PyTorch implementation for "Uncertainty-Aware CNNs for Depth Completion: Uncertainty from Beginning to End"☆96Updated 5 years ago
- Code for "Reversing the cycle: self-supervised deep stereo through enhanced monocular distillation"☆55Updated 3 years ago
- Recurrent Neural Network for (Un-)supervised Learning of Monocular VideoVisual Odometry and Depth☆45Updated 6 years ago
- [ECCV'20] Patch-match and Plane-regularization for Unsupervised Indoor Depth Estimation☆153Updated 3 years ago
- Predict dense depth maps from sparse and noisy LiDAR frames guided by RGB images. (Ranked 1st place on KITTI) [MVA 2019]☆506Updated 3 years ago
- ☆109Updated 7 years ago
- Bridging Stereo Matching and Optical Flow via Spatiotemporal Correspondence, CVPR 2019☆125Updated 6 years ago
- Self-Supervised Monocular Scene Flow Estimation (CVPR 2020)☆252Updated 3 years ago
- [ICLR19] DPSNet: End-to-end Deep Plane Sweep Stereo☆241Updated 5 years ago
- official implementation of "Visualization of Convolutional Neural Networks for Monocular Depth Estimation"☆154Updated 3 years ago
- ☆132Updated 6 years ago