Survey of filling in missing depth data using deep learning

Survey of filling in missing depth data using deep learning

Deep Depth Completion: A Survey
arXiv paper abstract https://arxiv.org/abs/2205.05335v1
arXiv PDF paper https://arxiv.org/pdf/2205.05335v1.pdf

Depth completion aims at predicting dense pixel-wise depth from a sparse map captured from a depth sensor.

It plays an essential role in various applications such as autonomous driving, 3D reconstruction, augmented reality, and robot navigation.

… provide … literature review that helps readers … grasp the research trends and … understand the current advances.

… investigate the related studies from the design aspects of network architectures, loss functions, benchmark datasets, and learning strategies with a proposal … that categorizes … methods.

… present a quantitative comparison of model performance on two widely used benchmark datasets, including an indoor and an outdoor dataset.

… discuss the challenges of prior works and provide … future research directions.

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