I guess I should be making a bit more noise about this, but DeOldify video works as well as it does because of a new GAN training technique developed in collaboration with @fastdotai called NoGAN. Here's a Reddit post on this!https://www.reddit.com/r/MachineLearning/comments/bq8gji/p_new_in_deoldify_smooth_colorization_of_video/ …
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Was the NoGAN also the technique applied to the microscopy videos at Salk Institute? The results are impressive. I’ve already tried the U-Net w perceptual loss to enhance satellite imagery from the Lunar Reconnaissance Orbiter, but I’m thinking about maybe testing this NoGAN.
Those microscopy results didn’t have NoGAN applied but I did try it on super-resolution and it worked marvelously. I suggested to @manorlaboratory that he should try it out as well. It should be a generally useful approach.
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This is definitely something we will be exploring in the near future!
Thanks. Twitter will use this to make your timeline better. UndoUndo
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