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Jul, 2017
拉普拉斯引导的神经风格迁移
Laplacian-Steered Neural Style Transfer
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Shaohua Li, Xinxing Xu, Liqiang Nie, Tat-Seng Chua
TL;DR
本研究提出了一种基于Laplacian loss的神经风格转移方法,通过优化目标图像中Laplacians的差异使得图像更好地保留内容图像的细节结构并消除矛盾和不好的图像效果。
Abstract
neural style transfer
based on
convolutional neural networks
(CNN) aims to synthesize a new image that retains the high-level structure of a content image, rendered in the low-level texture of a style image. This
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