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Pytorch implementation of SR by Subpixel convoluion. Training dataset consists of BSD300. The model is trained for Y channel

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amwons/super-resolution-by-subpixel-convolution

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该项目做了三件事

1. 基于PyTorch训练了一系列单图像超分辨神经网络,超分辨系数从2-10。

训练文件包含于./train文件夹

2. 把训练好的模型权值转存为MATLAB文件。

3. 把网络的test过程移植到了MATLAB平台,并撰写了测试代码。

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Pytorch implementation of SR by Subpixel convoluion. Training dataset consists of BSD300. The model is trained for Y channel

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