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Issues list

no video on my fake output how to fix?
#79 opened Nov 22, 2023 by gjin10969
how to fix this?
#78 opened Nov 21, 2023 by gjin10969
No such file or directory: 'Pytorch_VGGFACE.pth'
#77 opened Feb 1, 2023 by Shrutikaaaaa
1
Import error in dataset/preprocess.py
#74 opened Jan 1, 2022 by muramasa2
1
P_LEN and AdaIn implementation related questions
#73 opened Nov 15, 2021 by vinayak015
About training model
#70 opened Sep 13, 2021 by HAN-oQo
RuntimeError in resume train
#69 opened Jul 31, 2021 by xljh0520
2
Would you kindly offer Pytorch_VGGFACE_IR.py and Pytorch_VGGFACE.pth ?
#68 opened Jul 30, 2021 by xljh0520
1
Another bug uncovered(not sure)
#67 opened Apr 26, 2021 by phquanta
Bug in the code
#66 opened Apr 24, 2021 by phquanta
1
question about paper
#65 opened Apr 18, 2021 by diaodeyi
1
save_disc caffe pretrained model convertion error.
#64 opened Apr 4, 2021 by sunwoo76
3
Error: Video corrupted or no landmarks visible
#63 opened Mar 4, 2021 by MrCrazyCrab
How many memory is needed in training?
#62 opened Mar 3, 2021 by WithShadow000
2
Can't open the voxceleb2 video files
#61 opened Jan 30, 2021 by SarahMohamedLotfy
torch=1.2.0 but ModuleNotFoundError: No module named 'torch.legacy'
#60 opened Dec 29, 2020 by cindy-kika
the pretrained weights dont match generator of model
#59 opened Dec 6, 2020 by Sregaler
4
filepath is not correct in colab
#58 opened Sep 24, 2020 by deathwing573
webcam results is very Terrible. Am I doing some steps wrong？
#57 opened Aug 27, 2020 by Dian-Yi
2
Fully replicable paper results
#55 opened Aug 5, 2020 by amil-rp-work
2
Cannot get better Result like README
#54 opened Jul 26, 2020 by ghost
25
Is nn.AdaptiveMaxPool2d equal to sum pooling mentioned in paper?
#53 opened Jul 26, 2020 by Jarvisss
Some issue i met on this repo
#51 opened Jul 23, 2020 by FreedomGu
About the preprocessed dataset
#48 opened May 25, 2020 by MingtaoGuo
Mismatch between the architecture of Generator.py and the "G_state_dict" in pretrained "model_weights.tar"
#47 opened May 7, 2020 by HaoKun-Li
5
ProTip! Adding no:label will show everything without a label.