GFN:用于融合图像去模糊和超分辨率的门控融合网络(BMVC 2018口腔)

上传者: 42121086 | 上传时间: 2022-04-21 10:49:39 | 文件大小: 25KB | 文件类型: ZIP
GFN “门控融合网络的联合图像去模糊和超级分辨率”的,杭东,,,王飞,(上BMVC2018口头报告)。 您可以在上找到更多详细信息 。 改善培训过程 为了获得更稳定的训练过程,现在我们采用了三步训练策略,该策略与本文不同,将LR-GOPRO 4x数据集的PSNR从27.74dB提高到27.81dB。 模型 LR-GOPRO 4倍PSNR(dB) 时间 22.74 0.66 24.40 0.07 ED-DSRN 26.44 0.10 + EDSR 25.09 2.70 EDSR + DeepDeblur 26.35 8.10 GFN(BMVC纸) 27.74 0.07 GFN(现) 27.81 0.07 依存关系 Python 3.6 PyTorch> = 0.4.0 火炬视觉 麻木 skimage h5py 的MATLAB 测试方法

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