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cs.CV2018
Style Transfer and Extraction for the Handwritten Letters Using Deep Learning
Omar Mohammed, Gerard Bailly, Damien Pellier
How can we learn, transfer and extract handwriting styles using deep neural networks? This paper explores these questions using a deep conditioned autoencoder on the IRON-OFF handw…
cs.CV2018
Handwriting styles: benchmarks and evaluation metrics
Omar Mohammed, Gerard Bailly, Damien Pellier
Evaluating the style of handwriting generation is a challenging problem, since it is not well defined. It is a key component in order to develop in developing systems with more per…