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The new View synthesis into new free net is stacked with deep layer

机译:将新的View合成为新的免费网络的过程深层堆叠

摘要

Disclosed is a system and method for generating intermediate views between two received images. To generate the intermediate views, a rectification network rectifies the two images and an encoder network encodes the two rectified images to generate convolutional neural network features. The convolutional neural network features are fed to a decoder network that decodes the features to generate a correspondence between the two rectified images and blending masks to predict the visibility of pixels of the rectified images in the intermediate view images. Using the correspondence between the two rectified images and blending masks, a view morphing network synthesizes intermediate view images depicting an object in the two images in a view between the two images.
机译:公开了一种用于在两个接收到的图像之间生成中间视图的系统和方法。为了生成中间视图,整流网络对两个图像进行整流,编码器网络对两个整流图像进行编码以生成卷积神经网络特征。卷积神经网络特征被馈送到解码器网络,该解码器网络对特征进行解码以生成两个校正图像和混合蒙版之间的对应关系,以预测中间视图图像中校正图像的像素的可见性。使用两个校正图像和混合蒙版之间的对应关系,视图变形网络可以在两个图像之间的视图中合成描绘两个图像中的对象的中间视图图像。

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