FMPN: Fusing Multiple Progressive CNNs for Depth Map Super-Resolution

The Convolution Neural Network (CNN) is widely used in the super-resolution task of depth map. However, the ones with simple architecture and high efficiency generally lack accuracy, while the ones with high accuracy demonstrate low efficiency and training difficulties due to their over-deep level a...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	Shuaihao Li, Bin Zhang, Weiping Zhu, Xinfeng Yang
Format:	Article
Language:	English
Published:	IEEE 2020-01-01
Subjects:	Depth map super-resolution progressive convolution neural network partial differential equation fusion network
Online Access:	https://ieeexplore.ieee.org/document/9200348/