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Learning on multiple images #9
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The main idea of the paper is training on a single image, for multiple similar images i would sugest: CycleGAN |
There's a big gap between typical CycleGAN datasets and a dataset of 1, so adapting this architecture to cover some of the ground in between would still be super cool! |
CycleGAN can't generate random samples. |
you mean zebra to horse by single image? |
Is it possible to train a neural network on a group of similar images rather than on a single image?
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