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23 Open 38 Closed
23 Open 38 Closed
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Issues list

no valid convolution algorithms available in CuDNN
#65 opened Oct 17, 2022 by carlouic
Discriminator pretrained model missing
#64 opened Jun 17, 2022 by monicaortegaredondo
Doubt about the patch_size parameter
#63 opened Mar 6, 2022 by Aarsh2001
Questions about the setting of network when denoising.
#62 opened Nov 13, 2021 by leonmakise
what's real critertion in main.py?
#61 opened Aug 8, 2021 by zhizhengyan
Did you initialize all models with zero 'a'?
#60 opened May 11, 2021 by fsalmasri
Training on other datasets
#59 opened Oct 15, 2020 by DTM3302
1
Is it appropriate that the last convolutional layer of DBPN has no activation function?
#58 opened Sep 28, 2020 by yanghedada
About training on GAN
#56 opened Mar 3, 2020 by yangyingni
1
Can't get the same results as in the article with pretrained model.
#55 opened Feb 25, 2020 by 1214635079
2
what is the size of input ?
#54 opened Feb 17, 2020 by lunasdejavu
I trained and eval got black images
#53 opened Dec 3, 2019 by 1136831151
3
cannot download zip file in any way
#52 opened Nov 28, 2019 by jxingm
normalization for DBPNITER
#51 opened Oct 7, 2019 by makslevental
Question in main.py
#50 opened Aug 27, 2019 by yangyingni
1
How to use correctly
#49 opened Aug 24, 2019 by lchunleo
I inserted some layers into dbpn.py,and it can be trained successfully.But failed to test.
#48 opened Aug 23, 2019 by yangyingni
I inserted some layers into dbpn.py,and it can be trained successfully.But failed to test.
#47 opened Aug 23, 2019 by yangyingni
1
The question about train.
#46 opened Jul 31, 2019 by lcj951
3
What's class D_DownBlock(torch.nn.Module) mean?What's num_stages mean?
#45 opened Jul 18, 2019 by yangyingni
wrong output of pretrained model ‘DBPN-RES-MR64-3’
#44 opened Jul 2, 2019 by shiqi1994
1
one argument seems a little bit misleading in 'main.py'
#43 opened Jun 27, 2019 by shiqi1994
When training the discriminator, detach the output tensor of generator?
#37 opened Apr 28, 2019 by ksnzh
ProTip! Follow long discussions with comments:>50.