Deep depth completion from extremely sparse data: A survey

J Hu, C Bao, M Ozay, C Fan, Q Gao… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Depth completion aims at predicting dense pixel-wise depth from an extremely sparse map
captured from a depth sensor, eg, LiDARs. It plays an essential role in various applications …

Self‐supervised depth completion with multi‐view geometric constraints

M **ong, Z Zhang, J Liu, T Zhang… - IET Image …, 2023 - Wiley Online Library
Self‐supervised learning‐based depth completion is a cost‐effective way for 3D
environment perception. However, it is also a challenging task because sparse depth may …

Deep sparse depth completion using multi-scale residuals and channel shuffle

Z Liu, C Jung - IEEE Access, 2024 - ieeexplore.ieee.org
Depth completion aims to recover dense depth maps from sparse depth maps. Recent
approaches have used additional modalities as guidance to improve depth completion …