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Deep Image Prior

Deep Image Prior

A system for image enhancement and restoration

Edit ID  5307918 

Melanie Manipula
Melanie Manipula edited on 20 Jan 2018 8:36 pm
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Article (+835 characters)
Academic papers (+3 cells) (+151 characters)
Documentaries, videos and podcasts
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Deep Image Prior

A system for image enhancement and restoration

Article

Deep Image Prior is an image enhancement and restoration system without neural network training. It uses a neural network as a prior for image processing task.



The structure of the network is sufficient to capture low-level image statistics prior to any learning contrary to the common practice of training a deep neural network with a dataset. It uses randomly initialized neural network handcrafted priors to address images issues such as denoising, superresolution, inpainting and restore images based on flash-no flash input pairs.

...

It also highlights the inductive bias captured by standard generator network architectures and bridges the gap between two very popular families of image restoration methods: learning-based methods using deep convolutional neural networks and learning-free methods based on handcrafted image priors.

Academic papers

Author
Title
Link

Dmitry Ulyanov, Andrea Vedaldi and Victor Lempitsky

Deep Image Prior

Dmitry Ulyanov, Andrea Vedaldi and Victor Lempitsky

Deep Image Prior Supplementary Material

Documentaries, videos and podcasts

Title
Date
Link

Deep Image Prior | Two Minute Papers #219

10 January 2018