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Is this really generating anything new or is it essentially just morphing between existing photos that it's been trained on? It would be interesting to take so
by Nition 8y ago
Is this really generating anything new or is it essentially just morphing between existing photos that it's been trained on?
It would be interesting to take some of these GAN demos and write a utility where for each output, have it find the closest-matching training input, and see how similar it is.
- Iv 8y agoTypically these animations that look like morphings are generated by auto-encoders. Contrary to automatically generated morphings, you'll notice that all intermediate person is realistic. I don't think GAN work that way (I haven't followed it last year though). My understanding is that a GAN simply tries to determine if an image is generated or authentic. I suppose they used one there. One way to do what you propose would be to plot all the training pictures in the kernel space of the autoencoder and match the closest one to the generated picture.
- deleted 8y ago[deleted]
- tzakrajs 8y agoThe intermediates are not realistic. There are many artifacts and they are obscured by the small, lossy video.
- plutonorm 8y agoThis similarity of model output to training data, by pixel to pixel similarity, is often included in ML papers. The GAN here will very likely be producing uniques images in each case, some will be closer to the training data. But in general GANs are very capable and can for instance imagine a person with red hair wearing a green jacket even if it has never seen this combination of things before.
- gambler 8y ago>Is this really generating anything new or is it essentially just morphing between existing photos that it's been trained on? To answer this one would need to invest time into researching something that might potentially deflate the AI hype, so no one is doing it. Training dataset similarity analysis I usually see in these papers is downright laughable.