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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