abdo-eldesokey / nconv
A PyTorch implementation for our work "Confidence Propagation through CNNs for Guided Sparse Depth Regression"
☆88Updated 4 years ago
Alternatives and similar repositories for nconv:
Users that are interested in nconv are comparing it to the libraries listed below
- Implementation for our paper 'Learning Guided Convolutional Network for Depth Completion'☆158Updated 3 years ago
- Deep Surface Normal Guided Depth Prediction for Outdoor Scene from Sparse LiDAR Data and Single Color Image (CVPR 2019)☆251Updated 4 years ago
- Noise-Aware Unsupervised Deep Lidar-Stereo Fusion (CVPR 2019)☆53Updated 7 months ago
- papers and code for depth completion☆26Updated 5 years ago
- SegStereo: Exploiting Semantic Information for Disparity Estimation☆107Updated 6 years ago
- Dense Matching Benchmark☆176Updated 3 years ago
- Code release for "Towards Better Generalization: Joint Depth-Pose Learning without PoseNet".☆269Updated 2 months ago
- Pytorch implementation of depth completion architectures (eg. SparseConv, Sparse-to-Dense)☆50Updated 4 years ago
- Code for: "Learning To Adapt For Stereo" accepted at CVPR2019☆80Updated 5 years ago
- Implementation of "Stereo and LiDAR Fusion using Stereo Matching Network with Conditional Cost Volume Normalization"☆85Updated 5 years ago
- The code for our WACV paper "A Multi-Scale Guided Cascade Hourglass Network for Depth Completion"☆81Updated 3 years ago
- Code for the CVPR paper "CAM-Convs: Camera-Aware Multi-Scale Convolutions for Single-View Depth"☆120Updated 2 years ago
- [ICCV 2019] Depth Hints are complementary depth suggestions which improve monocular depth estimation algorithms trained from stereo pairs☆187Updated 3 years ago
- Learning Monocular Depth by Distilling Cross-domain Stereo Networks, ECCV18☆95Updated 5 years ago
- Geometry meets semantics for semi-supervised monocular depth estimation - ACCV 2018☆108Updated 5 years ago
- ☆24Updated 4 years ago
- CVPR 2020 - On the uncertainty of self-supervised monocular depth estimation☆238Updated last year
- This is the offical codes for the methods described in the "Feature-metric Loss for Self-supervised Learning of Depth and Egomotion".☆246Updated 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…☆94Updated 5 years ago
- Code for "Reversing the cycle: self-supervised deep stereo through enhanced monocular distillation"☆54Updated 2 years ago
- ☆126Updated 6 years ago
- [ECCV'20] Patch-match and Plane-regularization for Unsupervised Indoor Depth Estimation☆152Updated 2 years ago
- Bridging Stereo Matching and Optical Flow via Spatiotemporal Correspondence, CVPR 2019☆122Updated 5 years ago
- The official PyTorch implementation for "Uncertainty-Aware CNNs for Depth Completion: Uncertainty from Beginning to End"☆93Updated 4 years ago
- Github Repo for Paper "The Edge of Depth: Explicit Constraints between Segmentation and Depth"☆98Updated 4 years ago
- Tensorflow implementation of monocular Residual Matching (monoResMatch) network.☆116Updated 5 years ago
- Towards Good Practice for CNN Based Monocular Depth Estimation☆47Updated 7 months ago
- CVPR 2019 - Guided Stereo Matching☆109Updated 3 years ago
- Pytorch framework for supervised depth prediction☆40Updated 4 years ago
- (NeurIPS 2020 Spotlight) Wasserstein Distances for Stereo Disparity Estimation☆102Updated 2 years ago