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However, if you're in a rush, I believe split the dataset randomly and run re-train our model produces a similar result reported in the paper.
Thanks, I have obtained the CelebA database, but I wander if you can provide the corresponding relationship between each image of your dataset matrix in"face.h5" and the attribute filename in CelebA.
Additionly, as you discribed in paper , half of photos are converted into sketch domain by pix2pix. But how do you train the photo-sketch model?
Also interested in the correspondence between the celebA dataset and the face.h5 matrix. @Alexander-H-Liu could you provide either this correspondence or the mapping between elements of the different domains? So that we can know the ground truths
Thanks, I have obtained the CelebA database, but I wander if you can provide the corresponding relationship between each image of your dataset matrix in"face.h5" and the attribute filename in CelebA.
Additionly, as you discribed in paper , half of photos are converted into sketch domain by pix2pix. But how do you train the photo-sketch model?
Originally posted by @leoliu37 in #3 (comment)
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