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Found 2 papers, 2 papers with code
Did You Enjoy the Last Supper? An Experimental Study on Cross-Domain NER Models for the Art Domain
For the evaluation of the models, we employ a variety of source domain datasets and analyze how each source domain dataset impacts the performance of the different models for our target domain.
Art Creation with Multi-Conditional StyleGANs
Our approach is based on the StyleGAN neural network architecture, but incorporates a custom multi-conditional control mechanism that provides fine-granular control over characteristics of the generated paintings, e. g., with regard to the perceived emotion evoked in a spectator.
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