Comments (2)
I found out that if we resize the image bigger (in my case 320 pixels) all the defects will disappear.
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Hi @AumXIV
We did not observe such artifacts on any of the benchmark datasets. Maybe the input images have degradations other than blur.
Thanks
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Related Issues (20)
- Loss raise to abnormal and batchsize HOT 5
- About deraining HOT 1
- Optimization for denoising task
- “RuntimeError: CUDA Out of memory” error HOT 1
- 有大佬知道cuda:0 device type tensor to numpy怎么解决 HOT 5
- About de-blurring training
- CUDA out of memory in image denoising code. HOT 3
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- cannot import name 'PILLOW_VERSION' from 'PIL' HOT 2
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- evaluate_GOPRO_HIDE.m
- about test HOT 1
- about train
- training problem HOT 11
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