2. L2损失的收敛性能比L1要差。理论上说,L2损失是刷高PSNR指标的理想损失函数,但是具体在应用的时候...
MS-SSIM_L1_LOSS Pytorch implementation of MS-SSIM L1 Loss function for image restoration. How to use import this .py file into your project. from MS_SSIM_L1_loss import MS_SSIM_L1_LOSS criterion = MS_SSIM_L1_LOSS() # your pytorch tensor x, y with [B, C, H, W] dimension on cud...
Where are the PSNR/SSIM metricsThere are no ground truths of 4K anime.Why not do PSNR/SSIM on 480p->720p upscaling Story TimeComparing PSNR/SSIM on 480p->720p upscales does not prove and is not a good indicator of 1080p->2160p upscaling quality. (Eg. poor performance of waifu2x on ...
self.G_lossfn = nn.MSELoss().to(self.device)elifG_lossfn_type =='l2sum': self.G_lossfn = nn.MSELoss(reduction='sum').to(self.device)elifG_lossfn_type =='ssim': self.G_lossfn = SSIMLoss().to(self.device)else:raiseNotImplementedError('Loss type [{:s}] is not found.'.forma...
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因为L1是基于拉普拉斯先验证(可用作高频滤波算子),MSE基于正态分布先验
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