Training @NvidiaAI's #StyleGAN on Google Earth sattelite imagery, will take a few more days of training to get good samples, but already looks promising! Unfortunately don't have enough compute budget to run the model at full 1024 resolution...

Feb 16, 2019 · 5:15 PM UTC

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Real samples vs Generated samples after 24 hours of training. Gonna wait another day to generate latent space interpolations, let's not spoil all the fun at once ;-)
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Final generator samples after training #StyleGAN on satellite imagery for 3 days using 2xV100 GPUs at 256x256 resolution. Absolutely love the variety & esthetics of the results!
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Next, here are some mandatory slerp-interpolations in latent 'w' space, using some code from @phillip_isola gist.github.com/phillipi/d29… GIF loops between 3 latent midpoints and finally crosses the mean of the distribution since loopable GIFs are dope 😋
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And finally, @gwern, here are some rather artsy-looking high-resolution samples generated with ESRGAN. The super-resolution GAN adds some funny artefacts which makes the result kinda look like oil paintings. (didn't use these for the interpolations since they introduced jitter)
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Replying to @xsteenbrugge @hardmaru @NVIDIAAI
What budget do you need and what GPU on AWS ?
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I'm using 2x V100 GPUs with 12 cpu-cores and 100Gb SSD memory, a little over 100$/day of training. Training the full 1024-resolution model costs roughly 2k$ when using cloud compute..
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Replying to @xsteenbrugge @NVIDIAAI
Love this. I've been experimenting with some sky images. Do you mind sharing your data source?
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Replying to @xsteenbrugge @NVIDIAAI
Hey there, any chance you've open-sourced this model? Would love to play around with it for a music-to-latent-image-space art project I'm working on.
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This model is one of the available themes on wzrd.ai If you want the checkpoint, lmk and I can send it over :)

AI Music Visualizer

WZRD is an AI music visualizer. It augments your audio with immersive video powered by artificial intelligence.

wzrd.ai
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