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.
Implementation of our paper entitiled LiDAR-ToF-Binocular depth fusion using gradient priors published in CCDC.
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
Supervised Depth Completion of RGB-D Measurements from Reconstruction Loss
This is an official implementation of "DEN: Disentangling and Exchanging Network for Depth Completion" in TensorFlow.
Online 3D modeling by depth completion (RA-L 2021)
Nearest neighbor depth completion
LiDAR Guided Boundary Bleeding Refinement for Depth Map
CVPR 2024: Robust Depth Enhancement via Polarization Prompt Fusion Tuning
Attentive Bilateral Convolutional Network for Robust Depth Completion
2D/ 3D object detection, segmentation, depth estimation for self-driving car
PyTorch implementation of An Adaptive Framework for Learning Unsupervised Depth Completion (RAL 2021 & ICRA 2021)
ICASSP 2021: Scene Completeness-Aware Lidar Depth Completion for Driving Scenario
NIPS 2018 "Invertibility of Convolutional Generative Networks from Partial Measurements"
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
The code of 'Towards Domain-agnostic depth completion'
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