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DeepSEE: A novel framework for Deep Disentangled Semantic Explorative Extreme Super-Resolution, ACCV 2020 (oral)

Home Page: https://mcbuehler.github.io/DeepSEE/

License: Other

Python 79.43% Dockerfile 0.33% Shell 0.69% Jupyter Notebook 19.54%

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deepsee's Issues

Training code

Hi, this work is fantanstic, will you upload your training code and testing code?

custom dataset

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!

No file such as celeba_split.py

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?

how can I get predicted_labels(.png mask files?)

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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