ArtBrain introduces a 185k-image AI-art dataset and an AttentionConvNeXt model reported to classify style and source with F1 0.869 and 0.999 attribution accuracy, though the evaluation protocol undermines those numbers.
Feller, On the Theory of Stochastic Processes, with Particular Reference to Applications, in: First Berkeley Symposium on Mathematical Statistics and Probability, 1949, pp
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ArtBrain: An Explainable end-to-end Toolkit for Classification and Attribution of AI-Generated Art and Style
ArtBrain introduces a 185k-image AI-art dataset and an AttentionConvNeXt model reported to classify style and source with F1 0.869 and 0.999 attribution accuracy, though the evaluation protocol undermines those numbers.