Attention-aware Multi-stroke Style Transfer

CVPR 2019 Yuan YaoJianqiang RenXuansong XieWeidong LiuYong-Jin LiuJun Wang

Neural style transfer has drawn considerable attention from both academic and industrial field. Although visual effect and efficiency have been significantly improved, existing methods are unable to coordinate spatial distribution of visual attention between the content image and stylized image, or render diverse level of detail via different brush strokes... (read more)

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