Controlling strokes in fast neural style transfer using content transforms

HIGHLIGHTS

  • who: Max Reimann from the Hasso Plattner Institute, University of Potsdam, Potsdam, Germany have published the paper: Controlling strokes in fast neural style transfer using content transforms, in the Journal: (JOURNAL)
  • what: The authors propose a novel stroke-adjustable fast style transfer network that enables simultaneous control over the stroke size and intensity and allows a wider range of expressive editing than current approaches by utilizing the scale-variance of convolutional neural networks. While more sophisticated, bilateral methods of merging the information streams are possible, they do not necessarily yield better results, as the authors . . .

     

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