fangchangma / sparse-to-dense.pytorch
ICRA 2018 "Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image" (PyTorch Implementation)
☆448Updated 5 years ago
Alternatives and similar repositories for sparse-to-dense.pytorch:
Users that are interested in sparse-to-dense.pytorch are comparing it to the libraries listed below
- ICRA 2018 "Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image" (Torch Implementation)☆421Updated 6 years ago
- ICRA 2019 "Self-supervised Sparse-to-Dense: Self-supervised Depth Completion from LiDAR and Monocular Camera"☆635Updated 3 years ago
- ☆468Updated 5 years ago
- Convolutional Spatial Propagation Network☆500Updated 4 years ago
- Unsupervised Learning of Monocular Depth Estimation and Visual Odometry with Deep Feature Reconstruction☆350Updated 4 years ago
- Monocular Depth Prediction☆466Updated 10 months ago
- Learning Depth from Monocular Videos using Direct Methods, CVPR 2018☆232Updated 6 years ago
- Code for GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose (CVPR 2018)☆731Updated 6 years ago
- Unsupervised Scale-consistent Depth Learning from Video (IJCV2021 & NeurIPS 2019)☆740Updated 2 years ago
- official implementation of "Revisiting Single Image Depth Estimation: Toward Higher Resolution Maps with Accurate Object Boundaries"☆379Updated 3 years ago
- Code for "Real-time self-adaptive deep stereo" - CVPR 2019 (ORAL)☆420Updated last year
- Pytorch version of SfmLearner from Tinghui Zhou et al.☆1,025Updated 2 years ago
- Deep Depth Completion of a Single RGB-D Image☆570Updated 4 years ago
- Inference pipeline for the CVPR paper entitled "Real-Time Monocular Depth Estimation using Synthetic Data with Domain Adaptation via Imag…☆146Updated 5 years ago
- From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation☆641Updated last year
- Deep Surface Normal Guided Depth Prediction for Outdoor Scene from Sparse LiDAR Data and Single Color Image (CVPR 2019)☆250Updated 4 years ago
- Implementation of ICRA 2019 paper: Beyond Photometric Loss for Self-Supervised Ego-Motion Estimation☆199Updated 5 years ago
- Image Processing for Basic Depth Completion☆578Updated 5 years ago
- Unofficial implementation of Unsupervised Monocular Depth Estimation neural network MonoDepth in PyTorch☆548Updated 6 years ago
- [ICCV 2019] Depth Hints are complementary depth suggestions which improve monocular depth estimation algorithms trained from stereo pairs☆186Updated 3 years ago
- DeMoN: Depth and Motion Network☆577Updated 2 years ago
- Single Image Depth Estimation with Feature Pyramid Network☆328Updated 5 years ago
- [ECCV 2020] Self-Supervised Monocular Depth Estimation: Solving the Dynamic Object Problem by Semantic Guidance☆204Updated 3 years ago
- [ECCV 2018] DF-Net: Unsupervised Joint Learning of Depth and Flow using Cross-Task Consistency☆212Updated 6 years ago
- 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
- Predict dense depth maps from sparse and noisy LiDAR frames guided by RGB images. (Ranked 1st place on KITTI) [MVA 2019]☆489Updated 2 years ago
- Hierarchical Deep Stereo Matching on High Resolution Images, CVPR 2019.☆419Updated last year
- GA-Net: Guided Aggregation Net for End-to-end Stereo Matching☆560Updated 4 years ago
- A curated list of publication for depth estimation☆334Updated 4 years ago
- Code release for "Towards Better Generalization: Joint Depth-Pose Learning without PoseNet".☆269Updated 2 months ago