WebbIn-painting networks use existing pixels to generate ap- propriate pixels to fill “holes” placed on parts of an image. A 2-D in-painting network’s input usually consists of (1) a three-channel 2-D image, and (2) an additional channel for … WebbThe dataset here proposed, named MultitaskPainting100k, is composed by 100K paintings, 1508 artists, 125 styles and 41 genres. Our best method, tested on the MultitaskPainting100k dataset, achieves accuracy levels of 56.5%, 57.2%, and 63.6% on the tasks of artist, style and genre prediction respectively.
Restoration of artwork using deep neural networks
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How to Classify the paintings of an artist using CNN
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