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View Code? Open in Web Editor NEWCode for CVPR 2022 paper GANSeg: Learning to Segment by Unsupervised Hierarchical Image Generation
Code for CVPR 2022 paper GANSeg: Learning to Segment by Unsupervised Hierarchical Image Generation
Hi,
We are highly interested by your work, yet we can't find the following files on the download links you provided for celeba :
data/celeba_wild_raw/MAFL/celebA_training.txt
data/celeba_wild_raw/MAFL/training.txt
data/celeba_wild_raw/MAFL/testing.txt
Since these file seem mandatory to run the celeba dataset preprocessing, can you please indicate where we can download them.
Many thanks in advance,
Romain
Hi,
We were able to run your gan on the celeba example but we are struggling to apply it on raw images (without any supervision of mask or keypoint).
After careful reading of your works, we understand the main interest of your model is to generate keypoints then masks then segmented images from training on a dataset with only raw images, without any mask or keypoints in the training set. Can you please confirm this and provide us with a version of your code that can be applied on a folder containing only raw 256x256 images ?
Many thanks again for your work and reactivity,
Romain
When I preprocess the datasets of Celeba, cub, and flowers, some of the important files are missing, such as ''list_imsize_celeba.txt'', ''MAFL/celebA_training.txt'', ''train_val_test_split.txt'', etc. Can you provide all these files of datasets?
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