pytorch-msssim
pytorch-msssim copied to clipboard
VainF
Fast and differentiable MS-SSIM and SSIM for pytorch.
I have a network that trains 64x64px images. I can't currently use MSSSIM as a loss function as the number of downsamples means I need a larger input image size...
Hi, I came across this while looking for a PyTorch implementation of SSIM. On the Tensorflow page for SSIM it's mentioned that "Note: The true SSIM is only defined on...
Hi, I just test pytorch_msssim.ssim and skimage. When I compute ssim value with these two methods on 2d matrix, I got different results, I want to know what the problem...
Here is it, very noticeable artifacts  Here is demo https://colab.research.google.com/drive/1unDKzCr2wIrTISc9PzbHlwtXb1LSeFq9?usp=sharing
I'm using ssim loss for my autoencoder seems like the result comes out real nice but I see that the loss is bigger than one whereas in the equation, I...
I have data with (batch, 80, sample len) shape, for now, I'm using SSIM with reshaping to (batch, 1, 80, sample len). But SSIM do not take into account zero...
Hi Author, You mentioned in pytorch zero-padding is used to replace symmetric padding. I think [replication padding](https://pytorch.org/docs/stable/nn.html#torch.nn.ReplicationPad2d) in pytorch is the same as symmetric padding in tf. Would you take...
Hi @VainF I am trying to train my cnn model with ssim loss. So, I used 2 methods for training: **Method 1:** ``` output_normalized = (output-min_val)/(max_val-min_val) target_normalized = (target-min_val)/(max_val-min_val) loss...
Hi, thanks for the great implementation. I am currently working with greyscale images and implemented the loss for 1 channel images [here](https://github.com/willxxy/MS-SSIM-L1-For-1D/blob/main/msssim_l1.py). Would you mind looking at the implementation and...
Great repository! I am working on a deep learning application where about 70% of the pixels in my ground truth target images are masked, because they contain invalid pixels. Is...
