kujason / ip_basicLinks
Image Processing for Basic Depth Completion
☆598Updated 6 years ago
Alternatives and similar repositories for ip_basic
Users that are interested in ip_basic are comparing it to the libraries listed below
Sorting:
- Predict dense depth maps from sparse and noisy LiDAR frames guided by RGB images. (Ranked 1st place on KITTI) [MVA 2019]☆502Updated 3 years ago
- ICRA 2019 "Self-supervised Sparse-to-Dense: Self-supervised Depth Completion from LiDAR and Monocular Camera"☆644Updated 4 years ago
- Deep Surface Normal Guided Depth Prediction for Outdoor Scene from Sparse LiDAR Data and Single Color Image (CVPR 2019)☆256Updated 5 years ago
- Deep Depth Completion of a Single RGB-D Image☆587Updated 4 years ago
- ICRA 2021 "Towards Precise and Efficient Image Guided Depth Completion"☆344Updated 4 years ago
- ICRA 2018 "Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image" (Torch Implementation)☆436Updated 7 years ago
- Convolutional Spatial Propagation Network☆500Updated 4 years ago
- Unsupervised Scale-consistent Depth Learning from Video (IJCV2021 & NeurIPS 2019)☆744Updated 3 years ago
- Official implementation of the paper: MonoRec: Semi-Supervised Dense Reconstruction in Dynamic Environments from a Single Moving Camera (…☆599Updated 2 years ago
- Create Dense Depth Map Image for Known Poisitioned Camera from Lidar Point Cloud☆185Updated 7 years ago
- GA-Net: Guided Aggregation Net for End-to-end Stereo Matching☆563Updated 5 years ago
- Park et al., Non-Local Spatial Propagation Network for Depth Completion, ECCV, 2020☆328Updated 4 years ago
- Current state of supervised and unsupervised depth completion methods☆488Updated 7 months ago
- Implementation for our paper 'Learning Guided Convolutional Network for Depth Completion'☆165Updated 4 years ago
- Code for "Real-time self-adaptive deep stereo" - CVPR 2019 (ORAL)☆422Updated 2 years ago
- ICRA 2018 "Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image" (PyTorch Implementation)☆450Updated 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".☆248Updated 4 years ago
- Code release for Stereo 3D Object Detection via Shape Prior Guided Instance Disparity Estimation (CVPR 2020, TPAMI 2021)☆223Updated 2 years ago
- SOS IROS 2018 GOOGLE; StereoNet ECCV2018 GOOGLE; ActiveStereoNet ECCV2018 Oral GOOGLE; HITNET CVPR2021 GOOGLE;PLUME Uber ATG☆711Updated 3 years ago
- Revisiting Stereo Depth Estimation From a Sequence-to-Sequence Perspective with Transformers. (ICCV 2021 Oral)☆701Updated 2 years ago
- [ECCV 2020] Self-Supervised Monocular Depth Estimation: Solving the Dynamic Object Problem by Semantic Guidance☆212Updated 4 years ago
- ☆243Updated 3 years ago
- [DEPRECATED] Self-Supervised Extrinsic Calibration using 3D Spatial Transformer Networks☆222Updated 2 years ago
- SC-Depth (V1, V2, and V3) for Unsupervised Monocular Depth Estimation Webpage//jiawangbian.github.io/sc_depth_pl/☆473Updated 2 years ago
- Depth and Flow for Visual Odometry☆598Updated last year
- Monocular Depth Prediction☆468Updated last year
- ☆470Updated 5 years ago
- Code for "Self-Supervised 3D Keypoint Learning for Ego-motion Estimation"☆243Updated 4 years ago
- FlowNet3D: Learning Scene Flow in 3D Point Clouds (CVPR 2019)☆389Updated 2 years ago
- [CVPR'20] AANet: Adaptive Aggregation Network for Efficient Stereo Matching☆548Updated 2 years ago