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3D Reconstruction Based on Cyclic Multi-View Stereo Network

机译:基于循环多视图立体网络的3D重构

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Currently, the multi-view Stereo algorithm performs well in the neighborhood reconstruction, but the MVSNet method still has a huge memory consumption problem in the reconstruction of large scenes. This paper presents a recursive neural network based on G
机译:当前,多视图立体声算法在邻域重建中表现良好,但是MVSNet方法在大场景重建中仍然存在巨大的内存消耗问题。本文提出了一种基于G的递归神经网络

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