Pytorch-cyclegan-and-pix2pix: 'aligned_data mode' means the data is paired?

Created on 28 Aug 2017  路  3Comments  路  Source: junyanz/pytorch-CycleGAN-and-pix2pix

if the dataset_mode == aligned
then, does the data have to be paired?

I don't know exectly what it means, 'aligned', 'unaligned', and 'single'

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Yes, aligned means that the input and output images are aligned/paired (e.g. in pix2pix). Unaligned means that the input/output images are unpaired (in cyclegan), and single means that only input images are needed/used. I will probably change the naming to paired/unpaired later.

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Yes, aligned means that the input and output images are aligned/paired (e.g. in pix2pix). Unaligned means that the input/output images are unpaired (in cyclegan), and single means that only input images are needed/used. I will probably change the naming to paired/unpaired later.

@junyanz ah.. but in the previous version of cycle-gan code, it used the default setting of dataset as 'aligned data' ----> (at here, in base_option) https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix/commit/e6858e35f0a08c6139c133122d222d0d85e8005d

that time I trained the network(cycle-gan), but during training the data was not imported with paired.
Anyway, it showed good result.

@khryang That is probably because that the datasets you used aren't paired.

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