Comments (2)
NoviceCrom
commented on July 23, 2024
Could you share your code on GOPRO dataset with me?
I found it is useful for me.
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HongguangZhang
commented on July 23, 2024
The reported results are obtained with the models trained on VideoDeblurring dataset. You need to download the VideoDeblurring dataset and train the models from scratch.
Could you give some details of your setting of VideoDeblurring testing set？
I found that I can get the same PSNR results on GOPRO dataset， but get a lower PSNR results on VideoDeblurring dataset when I run your codes as the checkpoint you provided
from dmphn-cvpr19-master.
Related Issues (20)
- 人生迷茫，为什么要分patch（life issues：why need multi-patch) HOT 12
- 测试
- Normalization layer ( Instance or Batch Normalization) HOT 2
- running time HOT 1
- 操作过程
- The time it took to train 3000 epochs HOT 4
- 运行时间太久 HOT 1
- [re-train] network is super sensitive to weights initlization
- 请问为何有些去模糊的图会有类似方块一样的图纹？
- Size miss-match HOT 1
- about dataset HOT 1
- windows or ubuntus?
- OMG,Epoch:4000 HOT 1
- Using blurred images (unpaired imageset) only, how to train your code??
- Mismatch in Bias or Out_Channel between models.py code and layer architecture Diagram
- Why F-Norm for calculating MSE, I believe it must be L2-Norm
- Log Files from Training
- will you open source the event version code?
- 类似的方法是否可以用于去噪呢
- Testing of unpaired datasets
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