most citedStyle Transfer for Anime Sketches with Enhanced Residual U-net and Auxiliary Classifier GAN

33 citations · 33 across the 1 of their papers we have counts for

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1 paper

cs.CV2017★ 33 cited

Style Transfer for Anime Sketches with Enhanced Residual U-net and Auxiliary Classifier GAN

Lvmin Zhang, Yi Ji, Xin Lin

Recently, with the revolutionary neural style transferring methods, creditable paintings can be synthesized automatically from content images and style images. However, when it com…