Evelyn Nesbit in 1903. Colorized by DeOldify (https://github.com/jantic/DeOldify/blob/master/README.md …). Original image source: https://en.wikipedia.org/wiki/Evelyn_Nesbit …pic.twitter.com/QtgEp6FG9o
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the algorithm favors blue and red a lot. do you know why?
Yes that's a good observation! I'm not -quite- sure yet what's causing it but I've seen progress on making colors more diverse when I make the model bigger (more parameters). It almost seems like some sort of "mode collapse" though (common problem in GANS).
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Mode collapse in random image generation (usual GAN use case) would be where the same few images (with minor variations) are produces over an over again, rather than presenting a more diverse range. But this colorization with GANs stuff is new territory as far as I know
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So therefore this is all one big research project for me and it's a bit like feeling in the dark right now.
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