fangchangma / sparse-to-denseLinks
ICRA 2018 "Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image" (Torch Implementation)
☆430Updated 6 years ago
Alternatives and similar repositories for sparse-to-dense
Users that are interested in sparse-to-dense are comparing it to the libraries listed below
Sorting:
- ICRA 2018 "Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image" (PyTorch Implementation)☆449Updated 6 years ago
- Unsupervised Learning of Monocular Depth Estimation and Visual Odometry with Deep Feature Reconstruction☆354Updated 4 years ago
- ICRA 2019 "Self-supervised Sparse-to-Dense: Self-supervised Depth Completion from LiDAR and Monocular Camera"☆641Updated 4 years ago
- Predict dense depth maps from sparse and noisy LiDAR frames guided by RGB images. (Ranked 1st place on KITTI) [MVA 2019]☆496Updated 3 years ago
- This repository provides PyTorch implementation for 3DV 2018 paper "MVDepthNet: real-time multiview depth estimation neural network"☆317Updated 3 years ago
- Deep Depth Completion of a Single RGB-D Image☆578Updated 4 years ago
- Unsupervised CNN for Single View Depth Estimation: Geometry to the Rescue☆239Updated 6 years ago
- DeMoN: Depth and Motion Network☆581Updated 3 years ago
- Image Processing for Basic Depth Completion☆590Updated 5 years ago
- ☆468Updated 5 years ago
- Code for "Real-time self-adaptive deep stereo" - CVPR 2019 (ORAL)☆422Updated 2 years ago
- Implementation of ICRA 2019 paper: Beyond Photometric Loss for Self-Supervised Ego-Motion Estimation☆203Updated 5 years ago
- Geometry-Aware Learning of Maps for Camera Localization (CVPR2018)☆356Updated 3 years ago
- Convolutional Spatial Propagation Network☆500Updated 4 years ago
- Deep Surface Normal Guided Depth Prediction for Outdoor Scene from Sparse LiDAR Data and Single Color Image (CVPR 2019)☆253Updated 5 years ago
- Semantic Scene Completion from a Single Depth Image☆343Updated 7 years ago
- Learning Depth from Monocular Videos using Direct Methods, CVPR 2018☆234Updated 6 years ago
- Source Code for the Paper BA-Net: Dense Bundle Adjustment Network☆304Updated last month
- ☆244Updated 3 years ago
- Unsupervised Scale-consistent Depth Learning from Video (IJCV2021 & NeurIPS 2019)☆743Updated 2 years ago
- Code for GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose (CVPR 2018)☆737Updated 6 years ago
- Pytorch version of SfmLearner from Tinghui Zhou et al.☆1,029Updated 2 years ago
- DeepTAM: Deep Tracking and Mapping https://lmb.informatik.uni-freiburg.de/people/zhouh/deeptam/☆236Updated 6 years ago
- Code for Hierarchical Discrete Distribution Decomposition for Match Density Estimation (CVPR 2019)☆204Updated 4 years ago
- SOS IROS 2018 GOOGLE; StereoNet ECCV2018 GOOGLE; ActiveStereoNet ECCV2018 Oral GOOGLE; HITNET CVPR2021 GOOGLE；PLUME Uber ATG☆706Updated 3 years ago
- Learning Less is More - 6D Camera Localization via 3D Surface Regression☆262Updated 4 years ago
- GA-Net: Guided Aggregation Net for End-to-end Stereo Matching☆565Updated 5 years ago
- Code for DSAC (Differentiable RANSAC) for Camera Localization, CVPR 17☆348Updated 4 years ago
- Real-time motion from structure☆329Updated 5 years ago
- [ICCV 2019] Depth Hints are complementary depth suggestions which improve monocular depth estimation algorithms trained from stereo pairs☆187Updated 4 years ago