ICRA 2019 "Self-supervised Sparse-to-Dense: Self-supervised Depth Completion from LiDAR and Monocular Camera"
-
Updated
Apr 24, 2021 - Python
ICRA 2019 "Self-supervised Sparse-to-Dense: Self-supervised Depth Completion from LiDAR and Monocular Camera"
ICRA 2018 "Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image" (PyTorch Implementation)
ICRA 2018 "Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image" (Torch Implementation)
Predict dense depth maps from sparse and noisy LiDAR frames guided by RGB images. (Ranked 1st place on KITTI) [MVA 2019]
ICRA 2021 "Towards Precise and Efficient Image Guided Depth Completion"
Sparse Fuse Dense: Towards High Quality 3D Detection with Depth Completion (CVPR 2022, Oral)
PyTorch Implementation of Unsupervised Depth Completion with Calibrated Backprojection Layers (ORAL, ICCV 2021)
Tensorflow and PyTorch implementation of Unsupervised Depth Completion from Visual Inertial Odometry (in RA-L January 2020 & ICRA 2020)
Current state of supervised and unsupervised depth completion methods
🍀 Official pytorch implementation of "Indoor Depth Completion with Boundary Consistency and Self-Attention. Huang et al. RLQ@ICCV 2019."
Unofficial Faster PyTorch implementation of Convolutional Spatial Propagation Network
[RAL 2022 & ICRA 2023] TransCG: A Large-Scale Real-World Dataset for Transparent Object Depth Completion and A Grasping Baseline
A real-time depth filling approach based on prior image segmentation (http://www.atapour.co.uk/papers/BMVC2017.pdf).
Visual Odometry with Inertial and Depth (VOID) dataset
Official page of Struct-MDC (RA-L'22 with IROS'22); Depth completion from Visual-SLAM using point & line features
Tensorflow implementation of Learning Topology from Synthetic Data for Unsupervised Depth Completion (RAL 2021 & ICRA 2021)
LiDAR Guided Boundary Bleeding Refinement for Depth Map
NeurIPS 2019: Deep RGB-D Canonical Correlation Analysis For Sparse Depth Completion
Non-offical implementation of paper : DenseLiDAR: A Real-time Pseudo Dense Depth Guided Depth Completion Network
Nearest neighbor depth completion
Add a description, image, and links to the depth-completion topic page so that developers can more easily learn about it.
To associate your repository with the depth-completion topic, visit your repo's landing page and select "manage topics."