Comments (3)
Voc data contains lots of clean images, which could be used to construct unpaired clean and noisy data easily. In fact, you could use any other dataset to train your tasks.
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Will Celeb_TA and Celeb_TB affect the training result?
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Related Issues (16)
- Only one encoder in trainer.py HOT 1
- Do you have any pretrained model? HOT 1
- how do i fix this problem when i use psnr HOT 2
- [Pre-trained weights not found]
- In the gen_update method, why is random noise (torch.randn) added to the reconstruction process? HOT 1
- Structure of custom dataset
- 学长您好,我在构建自己数据集进行训练的时候发生错误,尝试一天后没找到解决办法,真诚希望学长能提点一下
- What is the specific shape of latent representation?
- About KL Loss HOT 4
- 关于训练过程 HOT 2
- Hi, I tried to apply it in my own CT low-dose data, but it didn't work well. The yaml file I use is 'the unit_noise2clear-poisson.yaml'. Is the right parameters you use in the low-dose CT? HOT 2
- One question in dis_update function
- The issue in the PascalVoc.py HOT 1
- About test.py? HOT 1
- Noise types? HOT 5
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