Is there going to be a BigBigBigAN?
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This is “BigBiGAN” not “BigBigGAN”. The second word is “bi” for “bidirectional” meaning it has an encoder as well as a generator. I first read it as BigBig too
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Well, it *was* competitive: https://arxiv.org/abs/1906.00910
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On the other hand, BigGAN was shown to provide inferior results wrt VQ-VAE, a much less computationally intensive model, when used to augment the training set of a ResNet classifier (data augmentation is one of the "obvious" downstream tasks for GANs). Would be interesting to 1/2
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2/2 see how well BigBiGAN does in that respect.
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I am curious how this compares with https://twitter.com/hardmaru/status/1070071518447554560 … The authors there use the encoder as the GAN discriminator (giving access to the latents at the same time), and report pretty high quality reconstructions.
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Tried to implement this myself + get existing implementations to work, all without success.. Anybody able to reproduce this? Even with pretraining as normal VAE, I experienced instant latent space collapse as soon as I used the adversarial component..
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Čini se da učitavanje traje već neko vrijeme.
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