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Neural style Transfer

艺术图像数据集:WirkArt
内容图像数据集:COCO2014
内容图像视频数据集:DAVIS、YoutubeVOS

v1版:

SANet + GNN, 利用GNN输入多帧来使用视频数据集进行训练(无效果,失败)

v2版:

可训练的双encoder(内容和风格的encoder分别使用两个可训练的VGG-19,然后利用一个预训练好的VGG-19作为损失网络)

v2版结果:

figure1
figure2

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