CSPN:卷积空间传播网络

上传者: 42116596 | 上传时间: 2022-08-09 18:25:33 | 文件大小: 264KB | 文件类型: ZIP
卷积空间传播网络 程新京,王鹏,关晨烨,杨瑞刚 内容 介绍 此回购协议包含针对深度完成和立体深度估计而训练的CSPN模型,如“ ”和“”中所述 我们在这里提供两种实现。 首先,我们通过Pytorch实施了一个简单的2D CSPN,将“异地”和“转换”操作结合在一起。 然后,我们通过CUDA提供了更有效的2D / 3D CSPN实施,并将它们集成到PaddlePaddle中,从而更加稳定和易于使用。 引文 如果您在研究中使用此方法,请引用: @inproceedings{cheng2018depth, title={Depth estimation via affinity learned with convolutional spatial propagation network}, author={Cheng, Xinjing and Wang, Peng and Yang,

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