Multi-Modal Convolutional Parameterisation Network for Guided Image Inverse Problems
Mikolaj Czerkawski,
Priti Upadhyay,
Christopher Davison
et al.
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… Show more
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