Someone used neural networks to upscale a famous 1896 video to 4k quality

The low-resolution images become your inputs and the high-resolution originals serve as the "correct" answer the network is aiming to produce."A neural network analyzes thousands of photo pairs to learn how details usually get lost," Topaz Labs explains on their product page for Gigapixel AI. "The algorithm learns to 'fill in' information in new images based on what it has learned, effectively adding new detail to your photo."Show the neural network a low-resolution image of a face and it will figure out that it's a face and fill in the right details for the subject's eyes, nose, and mouth. 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.