Depth Map Super-Resolution via Cascaded Transformers Guidance
Depth information captured by affordable depth sensors is characterized by low spatial resolution, which limits potential applications. Several methods have recently been proposed for guided super-resolution of depth maps using convolutional neural networks to overcome this limitation. In a guided s...
Main Authors: | Ido Ariav, Israel Cohen |
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Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2022-03-01
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Series: | Frontiers in Signal Processing |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/frsip.2022.847890/full |
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