Multi-modal convolutional parameterisation network for guided image inverse problems

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Czerkawski, Mikolaj and Upadhyay, Priti and Davison, Christopher and Atkinson, Robert and Michie, Craig and Andonovic, Ivan and Macdonald, Malcolm and Cardona, Javier and Tachtatzis, Christos (2024) Multi-modal convolutional parameterisation network for guided image inverse problems. Journal of Imaging, 10 (3). 69. ISSN 2313-433X (https://doi.org/10.3390/jimaging10030069)

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Abstract

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 technique based on fitting a convolutional neural network to output the known parts of the image (such as non-inpainted regions or a low-resolution version of the image). However, this approach is not well adjusted for samples composed of multiple modalities. In some domains, such as satellite image processing, accommodating multi-modal representations could be beneficial or even essential. In this work, Multi-Modal Convolutional Parameterisation Network (MCPN) is proposed, where a convolutional neural network approximates shared information between multiple modes by combining a core shared network with modality-specific head networks. The results demonstrate that these approaches can significantly outperform the single-mode adoption of a convolutional parameterisation network on guided image inverse problems of inpainting and super-resolution.

ORCID iDs

Czerkawski, Mikolaj ORCID logoORCID: https://orcid.org/0000-0002-0927-0416, Upadhyay, Priti ORCID logoORCID: https://orcid.org/0000-0002-6212-5314, Davison, Christopher ORCID logoORCID: https://orcid.org/0000-0002-9450-1791, Atkinson, Robert ORCID logoORCID: https://orcid.org/0000-0002-6206-2229, Michie, Craig ORCID logoORCID: https://orcid.org/0000-0001-5132-4572, Andonovic, Ivan ORCID logoORCID: https://orcid.org/0000-0001-9093-5245, Macdonald, Malcolm ORCID logoORCID: https://orcid.org/0000-0003-4499-4281, Cardona, Javier ORCID logoORCID: https://orcid.org/0000-0002-9284-1899 and Tachtatzis, Christos ORCID logoORCID: https://orcid.org/0000-0001-9150-6805;
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