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Deep image prior

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This is an old revision of this page, as edited by Trougnouf (talk | contribs) at 20:53, 30 December 2017 (Fix links). The present address (URL) is a permanent link to this revision, which may differ significantly from the current revision.

Deep Image Prior is a type of convolutional neural network used to enhance a given image with no training data other than the image itself. A neural-network is randomly initialized, and used as prior to solve inverse problems such as noise reduction, super-resolution, and inpainting.

References

Ulyanov, Dmitry; Vedaldi, Andrea; Lempitsky, Victor (30 November 2017). "Deep Image Prior". arXiv:1711.10925v2 [Vision and Pattern Recognition Computer Vision and Pattern Recognition].

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