2 citations · 2 across the 2 of their papers we have counts for
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cs.CV2024
Tri-Perspective View Decomposition for Geometry-Aware Depth Completion
Zhiqiang Yan, Yuankai Lin, Kun Wang +5
Depth completion is a vital task for autonomous driving, as it involves reconstructing the precise 3D geometry of a scene from sparse and noisy depth measurements. However, most ex…
cs.CV2023
AltNeRF: Learning Robust Neural Radiance Field via Alternating Depth-Pose Optimization
Kun Wang, Zhiqiang Yan, Huang Tian +4
Neural Radiance Fields (NeRF) have shown promise in generating realistic novel views from sparse scene images. However, existing NeRF approaches often encounter challenges due to t…
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…