Progressive Multi-scale Reconstruction for Guided Depth Map Super-Resolution via Deep Residual Gate Fusion Network

Yang Wen; Jihong Wang; Zhen Li; Bin Sheng; Ping Li; Xiaoyu Chi; Lijuan Mao

doi:10.1007/978-3-030-89029-2_5

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Progressive Multi-scale Reconstruction for Guided Depth Map Super-Resolution via Deep Residual Gate Fusion Network

Yang Wen Jihong Wang Zhen Li Bin Sheng Ping Li Xiaoyu Chi Lijuan Mao

Year: 2021 Lecture notes in computer science Pages: 67-79 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-030-89029-2_5

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Keywords:

Residual Fusion Artificial intelligence Scale (ratio) Computer science Superresolution Computer vision Algorithm Cartography Geography Image (mathematics)

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Advanced Vision and Imaging

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Image Processing Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Image Processing Techniques and Applications

Physical Sciences → Engineering → Media Technology

Progressive Multi-scale Reconstruction for Guided Depth Map Super-Resolution via Deep Residual Gate Fusion Network

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