mcbuehler / deepsee Goto Github PK
View Code? Open in Web Editor NEWDeepSEE: A novel framework for Deep Disentangled Semantic Explorative Extreme Super-Resolution, ACCV 2020 (oral)
Home Page: https://mcbuehler.github.io/DeepSEE/
License: Other
DeepSEE: A novel framework for Deep Disentangled Semantic Explorative Extreme Super-Resolution, ACCV 2020 (oral)
Home Page: https://mcbuehler.github.io/DeepSEE/
License: Other
Hi,
I want to use the original dataset for training, could you please tell me how to put the data I downloaded in the right way?
Best,
Shaun
There is nothing called scripts in this code!
Hi, this work is fantanstic, will you upload your training code and testing code?
Hi! DeepSEE is indeed a fantastic work for superresolution, and I'm trying to apply my own dataset to the network. However, I found that for training parameters 'dataset' and 'dataset_mode', there are only choices like celeba and celebamaskhq. How can I modify these parameters to make them suit my own dataset? Thanks!
There is no such file as celeba_split.py
in the data
folder as mentioned in the Dataset preparation section under CelebA dataset. Does it mean celeba_partition.py
?
If I have a new face photo and a already trained model(.pth files), how can I get the predicted_labels(.png mask files)?
Can I use your program to automatically generate it?
Thanks very much!
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