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Thanks for your work.
can I use this loss for AutoEncoder reconstruction?
Currently I am using multiple patch sizes in order to get more GAN-like patterns of reconstruction.
Are there any additional approaches to get better quality?
The text was updated successfully, but these errors were encountered:
Sure you can. I tried this too but it does not seem to be comparable to GAN
The results looks somewhat similar to MMD++ here https://github.com/ariel415el/PerceptualLossExperiments#5-generative-models
If interested you can read this paper that analyzes patch distribution losses and tests them in super-rseolution setting
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Thanks for your work.
can I use this loss for AutoEncoder reconstruction?
Currently I am using multiple patch sizes in order to get more GAN-like patterns of reconstruction.
Are there any additional approaches to get better quality?
The text was updated successfully, but these errors were encountered: