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人工智能论文:点云的神经风格转移(Neural Style Transfer for Point Clouds)

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kkkgame 发表于 2019-3-15 12:16:31 | 显示全部楼层 |阅读模式
kkkgame 2019-3-15 12:16:31 825 0 显示全部楼层
人工智能论文:点云的神经风格转移(Neural Style Transfer for Point Clouds)我们如何编辑或转换pointcloud的几何或颜色属性?在这项研究中,我们提出了一种用于pointclouds的神经风格转移方法,它允许我们将几何或颜色的样式从单点云中独立地或同时地转移到另一个。通过操纵从预先训练的基于PointNet的彩色点云的分类网络中提取的内容表示和基于Gram的样式表示来实现这种转移。由于基于Gram的样式表示不同于点的数量或顺序,因此可以扩展相同的方法以通过仅将图像视为一组像素来将从图像提取的样式转移到点云的颜色表达。实验结果证明了所提出的方法能够将风格从图像或点云转移到单个物体或甚至室内场景的另一个点云。
How can we edit or transform the geometric or color property of a pointcloud?In this study, we propose a neural style transfer method for pointclouds which allows us to transfer the style of geometry or color from onepoint cloud either independently or simultaneously to another.This transfer isachieved by manipulating the content representations and Gram-based stylerepresentations extracted from a pre-trained PointNet-based classificationnetwork for colored point clouds.As Gram-based style representation isinvariant to the number or the order of points, the same method can be extendedto transfer the style extracted from an image to the color expression of apoint cloud by merely treating the image as a set of pixels.Experimentalresults demonstrate the capability of the proposed method for transferringstyle from either an image or a point cloud to another point cloud of a singleobject or even an indoor scene.人工智能论文:点云的神经风格转移(Neural Style Transfer for Point Clouds) x4IJ5JSxsZHHrf0j.jpg
URL地址:https://arxiv.org/abs/1903.05807     ----pdf下载地址:https://arxiv.org/pdf/1903.05807    ----人工智能论文:点云的神经风格转移(Neural Style Transfer for Point Clouds)
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