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cs.CV2022★ 2 cited
DesNet: Decomposed Scale-Consistent Network for Unsupervised Depth Completion
Zhiqiang Yan, Kun Wang, Xiang Li +3
Unsupervised depth completion aims to recover dense depth from the sparse one without using the ground-truth annotation. Although depth measurement obtained from LiDAR is usually s…
cs.CV2022
Multi-Modal Masked Pre-Training for Monocular Panoramic Depth Completion
Zhiqiang Yan, Xiang Li, Kun Wang +3
In this paper, we formulate a potentially valuable panoramic depth completion (PDC) task as panoramic 3D cameras often produce 360° depth with missing data in complex scenes. Its g…