“…As far as we know, this is the first time that a representation from an existing classifier network is used to augment an autoencoder, which enables the feed-forward treatment of new persons, unseen during training. In addition, this is the first work to introduce a new Newton, '05 [32] Gross, '08 [10] Samarzija, '14 [41] Jourabloo, '15 [16] Meden, '17 [31] Wu, '18 [49] Sun'18 [43,44] Our Preserves We compare to all methods that provide reasonable quality images in their manuscript, under conditions that are favorable to previous work (we crop the input images from the pdf files, except for the images received from the authors of [43,44]). † The face is swapped with an average of a few dataset faces.…”