Comments (2)
Hi,
Thanks a lot. I can confirm that there is a problem when running the model on high res images with low texture, it is mostly due to the dataset, as the model was trained on lower resolution and with high texture details. In many cases, downsampling by a factor of 2 -> deblurring -> upsampling might improve the results a lot.
from deblurgan.
Thanks for confirming the issue. I'm planning to retrain the model with data that contains samples with low/minimal texture in hope of fixing these issues.
from deblurgan.
Related Issues (20)
- combine A_B HOT 1
- macOS thread error and timeout using CPU—Warning: Cannot set number of intraop threads after parallel work has started
- Where can I find the deblurred image after running the script ? Plus, what can I do with the visdom.server webpage ? HOT 1
- Question of motion blur kernel generation algorithm HOT 1
- Google drive link to weights not found HOT 1
- can't gpu parallel to compute
- I'm planning to use this model on spectrograms for speech enhancement. What's the best way of going about with this?
- Train your own dataset HOT 1
- Log Files from Training
- Calculate the metrics on resized image might be inappropriate.
- Weights don't exist HOT 4
- ERROR: on_close() takes 1 positional argument but 3 were given HOT 1
- What is the point of combine_A_and_B.py script? HOT 1
- Weights drive link HOT 2
- Are the provided weights not functional? HOT 1
- Pretrained model link broken HOT 9
- Assertion Error while training the model
- GoPro test
- the paper results are so bad?有人复现出论文的结果了码?
- Weights link broken from project page HOT 1
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from deblurgan.