My academic research project on depth completion for LIDAR sequences at the University of Queensland
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Updated
Jul 15, 2019 - Python
My academic research project on depth completion for LIDAR sequences at the University of Queensland
Implementation of our paper entitiled S&CNet: A lightweight network for fast and accurate depth completion published in JVCI.
Python script for performing depth completion from sparse depth and rgb images using the msg_chn_wacv20. model in Tensorflow Lite.
Leveraging GradSLAM Multi-view gradients to optimize RGB-D Images: Experiments and Insights
Non-offical implementation of paper : DenseLiDAR: A Real-time Pseudo Dense Depth Guided Depth Completion Network
Online 3D modeling by depth completion (RA-L 2021)
Supervised Depth Completion of RGB-D Measurements from Reconstruction Loss
[TPAMI 23‘] ActiveZero++: Mixed Domain Learning Stereo and Confidence-based Depth Completion with Zero Annotation
Nearest neighbor depth completion
LiDAR Guided Boundary Bleeding Refinement for Depth Map
Attentive Bilateral Convolutional Network for Robust Depth Completion
CVPR 2024: Robust Depth Enhancement via Polarization Prompt Fusion Tuning
ICASSP 2021: Scene Completeness-Aware Lidar Depth Completion for Driving Scenario
Python script for performing depth completion from sparse depth and rgb images using the msg_chn_wacv20. model in ONNX
Depth Completion technique agnostic to input depth pattern sparsity, WACV23
Tensorflow implementation of Learning Topology from Synthetic Data for Unsupervised Depth Completion (RAL 2021 & ICRA 2021)
NeurIPS 2019: Deep RGB-D Canonical Correlation Analysis For Sparse Depth Completion
PyTorch Implementation of Monitored Distillation for Positive Congruent Depth Completion (ECCV 2022)
Official page of Struct-MDC (RA-L'22 with IROS'22); Depth completion from Visual-SLAM using point & line features
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