Deep image prior

Deep image prior

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Deep convolutional networks have become a popular tool for image generation and restoration. Generally, their excellent performance is imputed to their ability to learn realistic image priors from a large number of example images. In this paper, we show that, on the contrary, the structure of a gene...

書誌詳細
主要な著者:	Ulyanov, D, Vedaldi, A, Lempitsky, V
フォーマット:	Journal article
言語:	English
出版事項:	Springer 2020

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