Multi-Modal Convolutional Parameterisation Network for Guided Image Inverse Problems

Multi-Modal Convolutional Parameterisation Network for Guided Image Inverse Problems

There are several image inverse tasks, such as inpainting or super-resolution, which can be solved using deep internal learning, a paradigm that involves employing deep neural networks to find a solution by learning from the sample itself rather than a dataset. For example, Deep Image Prior is a tec...

Full description

Bibliographic Details
Main Authors: Mikolaj Czerkawski, Priti Upadhyay, Christopher Davison, Robert Atkinson, Craig Michie, Ivan Andonovic, Malcolm Macdonald, Javier Cardona, Christos Tachtatzis
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Journal of Imaging
Subjects:
image synthesis
internal learning
image inpainting
image super-resolution
multi-modal learning
Online Access:https://www.mdpi.com/2313-433X/10/3/69

Similar Items

Similar Items