基于CycleGAN的Cloud2painting翻译

Jingshuo Liu, Shu Zhang, Xinrui Ma, Maoxuan Feng
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引用次数: 0

摘要

图像翻译是最常用的图像处理任务之一。在这项工作中,我们使用强大的CycleGAN模型和一些传统的图像处理技术将云图像转换为特定物体的素描肖像。准确地说,本工作提取了云的外轮廓,并使用训练好的CycleGAN模型将外轮廓转换为特定的图像(以鱼的草图为例),模型的输出显示出良好的平移效果。此外,本工作将未提取轮廓的云图像作为对照组,证明了我们的预处理技术的必要性。
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CycleGAN -based Cloud2painting Translation
Image2image translation is one of the most popular image processing tasks. In this work, we use the powerful CycleGAN model and some traditional image processing technology to transform images of cloud into sketch portraits of specific objects. Precisely, this work extract the outer contour of the cloud and use the trained CycleGAN model to transform the outer contour into a specific image (taking the sketch of fish as an example) and the output of the model shows its good translation effect. Moreover, this work set the images of cloud without contour extraction as the control group, which proves the necessity of our preprocessing technology.
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