RigNet: Repetitive image guided network for depth completion

Z Yan, K Wang, X Li, Z Zhang, J Li, J Yang - European Conference on …, 2022 - Springer
Depth completion deals with the problem of recovering dense depth maps from sparse ones,
where color images are often used to facilitate this task. Recent approaches mainly focus on …
被引用次数：104 相关文章

RigNet: Repetitive Image Guided Network for Depth Completion

Z Yan, K Wang, X Li, Z Zhang, J Li, J Yang - European Conference on …, 2022 - dl.acm.org
Depth completion deals with the problem of recovering dense depth maps from sparse ones,
where color images are often used to facilitate this task. Recent approaches mainly focus on …
[PDF] ecva.net

[PDF][PDF] RigNet: Repetitive Image Guided Network for Depth Completion

Z Yan, K Wang, X Li, Z Zhang, J Li, J Yang - ecva.net
Depth completion deals with the problem of recovering dense depth maps from sparse ones,
where color images are often used to facilitate this task. Recent approaches mainly focus on …

[引用][C] RigNet: Repetitive Image Guided Network for Depth Completion

Z Yan, K Wang, X Li, Z Zhang, J Li, J Yang - Lecture Notes in Computer …, 2022 - cir.nii.ac.jp
RigNet: Repetitive Image Guided Network for Depth Completion | CiNii Research CiNii 国立
情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 検索フォームへ移動 論文・データをさがす …

RigNet: Repetitive Image Guided Network for Depth Completion

Z Yan, K Wang, X Li, Z Zhang, J Li, J Yang - arXiv e-prints, 2021 - ui.adsabs.harvard.edu
Depth completion deals with the problem of recovering dense depth maps from sparse ones,
where color images are often used to facilitate this task. Recent approaches mainly focus on …

RigNet: Repetitive Image Guided Network for Depth Completion

Z Yan, K Wang, X Li, Z Zhang, J Li, J Yang - arXiv preprint arXiv …, 2021 - arxiv.org
Depth completion deals with the problem of recovering dense depth maps from sparse ones,
where color images are often used to facilitate this task. Recent approaches mainly focus on …