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Reconstructing three-dimensional scenes using multi-view cycle projection

机译:使用多视图循环投影重建三维场景

摘要

Methods, systems, and non-transitory computer readable storage media are disclosed for reconstructing three-dimensional object meshes from two-dimensional images of objects using multi-view cycle projection. For example, the disclosed system can determine a multi-view cycle projection loss across a plurality of images of an object via an estimated three-dimensional object mesh of the object. For example, the disclosed system uses a pixel mapping neural network to project a sampled pixel location across a plurality of images of an object and via a three-dimensional mesh representing the object. The disclosed system determines a multi-view cycle consistency loss based on a difference between the sampled pixel location and a cycle projection of the sampled pixel location and uses the loss to update the pixel mapping neural network, a latent vector representing the object, or a shape generation neural network that uses the latent vector to generate the object mesh.
机译:公开了用于使用多视图循环投影重建从对象的二维图像重建三维物体网格的方法,系统和非暂时性计算机可读存储介质。例如,所公开的系统可以通过对象的估计的三维物体网格来确定跨对象的多个图像的多视图循环投影丢失。例如,所公开的系统使用像素映射神经网络来投影跨对象的多个图像的采样像素位置,并经由表示对象的三维网格。所公开的系统基于采样像素位置和采样像素位置的循环投影之间的差异来确定多视图周期一致性损耗,并使用丢失来更新像素映射神经网络,表示对象的潜在矢量,或者形状生成神经网络,使用潜像来生成对象网格。

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