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The work is based on an original digital drawing by the artist, which he then enhanced by running it through the Adaptive-Style-Transfer Picasso-model implemented at Runwayml.com. In the last step, he manually outlined the resulting color areas. Reference: Artsiom Sanakoyeu*, Dmytro Kotovenko*, Sabine Lang, Björn Ommer. "A Style-Aware Content Loss for Real-time HD Style Transfer", in European Conference on Computer Vision (ECCV), 2018. (* indicates equal contributions) Used under GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. (https://www.gnu.org/licenses) Source-code and more infos here: https://github.com/CompVis/adaptive-style-transfer
  • MediumImage (PNG)
  • File Size16.0 MB
  • Dimensions3008 x 3008
  • Contract Address
  • Token StandardERC-721
  • BlockchainEthereum

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