Of course, humanity’s standards for realism have risen dramatically over the last years. Today, the Lumière brothers’ masterpiece looks grainy, murky, and basically ancient. But a man named Denis Shiryaev used modern machine-learning techniques to upscale the classic film to st-century video standards.
How did Shiryaev do it? He says he used commercial image-editing software called Gigapixel AI . Created by Topaz Labs, the package allows customers to upscale images by up to 980 percent. Using sophisticated neural networks, Gigapixel AI adds realistic details to an image to avoid making it look blurry as it’s scaled up.
Timothy B. Lee / Colorize Images / Denis Shiryaev An obvious next step would be to colorize the video. Neural networks can do that, too, using the same basic technique: start with a bunch of color photos, convert them to black and white, and then train a neural network to reconstruct the color originals.
I dropped a frame from Shiryaev’s video into the Colorize Images app for Android, which uses machine learning to automatically colorize images. As you can see, it does a pretty good job, correctly inferring that trees should be green, gravel should be a brownish color, and that men’s coats should be black. I would love to see someone with more time and better tools colorize Shiryaev’s upscaled version of the Lumière Brothers’ classic. Read More
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