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jixiaozhong / RealSR

Real-World Super-Resolution via Kernel Estimation and Noise Injection
Apache License 2.0
740 stars 102 forks source link

About Kernel Estimation losses #27

Open claroche-gpfw-zz opened 3 years ago

claroche-gpfw-zz commented 3 years ago

Hi,

Thanks for your paper and code, I really liked the way you built your LR/HR pairs.

In the paper, you use 4 different losses to estimate the kernel based on what was done in KernelGAN. However, you slightly modify the original KernelGAN loss by removing the sparsity loss and by adding the following loss:

Can you explain to me the advantages of such changes in comparison to the classical KernelGAN method?

Thanks, Charles