Search Results for author: Lingzhi He

Found 2 papers, 1 papers with code

BridgeNet: A Joint Learning Network of Depth Map Super-Resolution and Monocular Depth Estimation

no code implementations • 27 Jul 2021 • Qi Tang, Runmin Cong, Ronghui Sheng, Lingzhi He, Dan Zhang, Yao Zhao, Sam Kwong

The other is the content guidance bridge (CGBdg) designed for the depth map reconstruction process, which provides the content guidance learned from DSR task for MDE task.

Depth Map Super-Resolution Monocular Depth Estimation +1

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Towards Fast and Accurate Real-World Depth Super-Resolution: Benchmark Dataset and Baseline

1 code implementation • CVPR 2021 • Lingzhi He, Hongguang Zhu, Feng Li, Huihui Bai, Runmin Cong, Chunjie Zhang, Chunyu Lin, Meiqin Liu, Yao Zhao

Depth maps obtained by commercial depth sensors are always in low-resolution, making it difficult to be used in various computer vision tasks.

Depth Map Super-Resolution

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