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...

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Bibliographic Details
Main Authors: Ido Ariav, Israel Cohen
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-03-01
Series:Frontiers in Signal Processing
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/frsip.2022.847890/full