Image Arbitrary Style Transfer via Artistic Aesthetic Enhancement
Current research has shown remarkable success in universal style transfer,which can transfer arbitrary visual styles to content images.However,in the evaluation dimension of arbitrary style transfer of images,it is not comprehensive to only consi-der the retention of semantic structure and the diversity of style patterns,and the artistic aesthetics should also be taken into ac-count.Existing methods generally have the problem of artistic aesthetic unnaturalness,which is manifested in the disharmonious patterns and obvious artifacts in the stylized images which are easy to distinguish from the real paintings.To solve this problem,a novel artistic aesthetic enhancement image arbitrary style transfer(AAEST)approach is proposed.Specifically,first,a multi-scale artistic aesthetic enhancement module is designed to improve the problem of disharmonious patterns by extracting style image features at different scales.At the same time,an aesthetic-style attention module is designed,which uses the channel atten-tion mechanism to adaptively match and enhance style features according to the global aesthetic channel distribution of the aes-thetic features.Finally,a covariance transformation fusion module is proposed to transfer the second-order statistics of the en-hanced style features to the corresponding content features,so as to achieve aesthetic-enhanced style transfer while preserving the content structure.The effectiveness of the proposed module and the added loss function are verified by qualitative comparison with the latest four style transfer methods and ablation experiments.In the comparison of five quantitative indicators,four achieve optimal scores.Experimental results show that the proposed method can generate more harmonious style transfer images.
万方数据
维普
