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Great and thanks for the work team! My dataset involves a mix up of gaussian blur, fog, median blur and few cases of motion blur, Infact in some cases, the single input image will have mix up of the above-mentioned blur. I trained Nafnet for 200,000 iterations with pair-to-pair input images, which is around 3k.
But could see very less deblurring happening that too only in few cases. I also tired giving input images without sub cropping it, but couldn't find improvements. Is there something which I'm missing to get better results. Kindly guide with this!
Thanks!
The text was updated successfully, but these errors were encountered:
Hello, I am preparing to train this network to perform Gaussian blur deblurring. Can you please take a look at your code for training this network to deblur? I can't find a clue, thank you very much. In addition, you mentioned that this network does not seem to be very effective at removing Gaussian blur. Can you take a look at your renderings?
Hi team,
Great and thanks for the work team! My dataset involves a mix up of gaussian blur, fog, median blur and few cases of motion blur, Infact in some cases, the single input image will have mix up of the above-mentioned blur. I trained Nafnet for 200,000 iterations with pair-to-pair input images, which is around 3k.
But could see very less deblurring happening that too only in few cases. I also tired giving input images without sub cropping it, but couldn't find improvements. Is there something which I'm missing to get better results. Kindly guide with this!
Thanks!
The text was updated successfully, but these errors were encountered: